Tootfinder

Tenure-track Assistant Professor and Curator in #Mineralogy at Natural History Museum #Denmark #geology

211-0241/25-2N Tenure-track Assistant Professor and Curator in Mineralogy at Natural History Museum Denmark

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 3862 nodes and 87324 edges.
Tags: Social, Online, Unweighted

This https://arxiv.org/abs/2505.04555 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Who Bears the Cost? High-Frequency Evidence on Minimum Wage Effects and Amenity Pass-Through in Spot Labor Markets
This paper provides causal evidence on the short-run effects of minimum wage hikes in a spot labor market, using confidential contract-level data from Timee, a Japanese job-matching platform. Leveraging high-frequency variation and a bin-level difference-in-differences design, we find a 2 percentage point decline in employment within affected wage bins, with losses concentrated below the new threshold. Transportation reimbursement--a flexible nonwage amenity--remains largely unchanged, indicati…

Semantic-aware Digital Twin for AI-based CSI Acquisition
Jiajia Guo, Yiming Cui, Shi Jin
https://arxiv.org/abs/2506.21126 https://arx…

Semantic-aware Digital Twin for AI-based CSI Acquisition
Artificial intelligence (AI) substantially enhances channel state information (CSI) acquisition performance but is limited by its reliance on single-modality information and deployment challenges, particularly in dataset collection. This paper investigates the use of semantic-aware digital twin (DT) to enhance AI-based CSI acquisition. We first briefly introduce the motivation and recent advancements in AI-driven CSI acquisition and semantic-aware DT employment for air interfaces. Then, we thor…

Support 4 Employment Podcast
Great Australian Pods Podcast Directory: #GreatAusPods

Support 4 Employment | Great Australian Pods Podcast Directory
Podcast: Support 4 Employment Podcast Host: Scott Category: Business Sub-Category: Careers, Commentary & Conversations, Health & Wellness, Non Profit & Charity First Episode: 2025 Join a rotating crew…

I'm not sure it's legal to have such a well-reasoned discussion of AI and tech employment, but in case it is: #linkTuesday

Whatever’s going on in the employment market, it feels like there’s some kind of fever that needs to break — as bubbles bursting, as a recession, •something• — and it’s only after it does that in hindsight we’ll have some measure of clarity.

Why AI can't possibly make you more productive; long
Addendum: for those in tech specifically, despite what it might seem like, now is an excellent time to be organizing a union in your workplace. In the current social order, it's one of the only & best ways to have any say in the upcoming AI employment debacles, and the solidarity that the organizing process engenders is amazing.

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

Young Graduates Are Facing an Employment Crisis (Wall Street Journal)
https://www.wsj.com/economy/jobs/jobs-unemployment-rise-young-people-ce4704d8
http://www.memeorandum.com/250616/p69#a250616p69

At various times Trump has invoked, and lost, both presidential immunity and Westfall immunity.
The Westfall Act says that the US is responsible for any govt employee’s tort within the scope of his/her employment.
https://skywriter.blue/pages/did:plc:v

Surface Geologist 🚨Job opening🚨 #NorthDakota Geological Survey #geology
Field mapping of glacial sediments or sedimentary rock, geologic hazards (landslide) mapping, interpreting aerial and satellite imagery, etc.

Employment Opportunities

Anyone with #ADHD or #ADD out there?
Does your work involve a computer with internet access?
How do you manage distractions?
How do you resist the impulse to go on hour long yak shaving tangents all the time?
I'm serious. It's gotten to a point where it threatens my employment.

Meaning as Use, Application, Employment, Purpose, Usefulness
Ruy J. G. B. de Queiroz
https://arxiv.org/abs/2506.07131 https://arxiv.o…

Meaning as Use, Application, Employment, Purpose, Usefulness
Arising from the whole body of Wittgenstein's writings is a picture of a (not necessarily straight, linear, but admittedly tireless) journey to come to terms with the mechanics of language as an instrument to conceive `reality' and to communicate an acquired conception of the `world'. The journey passes through mathematics, psychology, color perception, certainty, aesthetic, but, looking at it from a sort of birdview, it seems reasonable to say that these are all used as `test beds' for his ref…

An analysis of 61 settlements signed by Channel 4 staff who left amid employment disputes between 2017 and 2021 shows it paid out ~£5M and all but two had NDAs (Jake Kanter/Deadline)
https://deadline.com/2025/06/channel-4-denies-using-nda-zelda-pe…

Channel 4 Says It Doesn’t Use NDAs, But Documents Reveal Company Is Curbing Free Speech Of Aggrieved Ex-Employees
Channel 4 described itself as the "defender of free speech," but documents reveal it is restricting what former staffers can say about the company.

masks at protests / demographics 2/n
I wonder about the influence of employment, as well. If you're at risk every work day, I could well imagine it seeming pointless to start being careful the rest of the time, and maybe just too cognitively dissonant to consider.
I remember in 2020, someone I knew was working at Waterstones, and they were forbidden to mask up at work - even though 2020 was before the whole "covid is over" thing.
I also remember reading about someone - maybe a nurse? that _kind_ of job, anyway - who'd started wearing a fitted mask while the default in their workplace was baggy blues, and iirc was formally rebuked. It wasn't allowed.
If for whatever reason you're unable to hold down a typical job, you might not have much cash for _getting_ things like masks, but you're also not under that same kind of economic pressure to put yourself at risk.
#masks #work #CovidIsntOver

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 5524 nodes and 94219 edges.
Tags: Social, Online, Unweighted

How Tech Company Recruiters Sidestep Trump’s Immigration Crackdown
https://www.propublica.org/article/trump-immigration-h1b-visas-perm-tech-jobs-recruitment

The Tech Recruitment Ruse That Has Avoided Trump’s Crackdown on Immigration
Every Sunday, newspapers are full of ads for tech jobs that aren't really looking for applicants. They reveal an aspect of U.S. immigration law that hurts both domestic and foreign workers — yet has endured for decades.

Trump’s appeal of EJ Carroll’s $83.3 million defamation verdict against him is set for oral argument June 24
Trump & DOJ have jointly moved to postpone
This case involves alleged defamations in 2019, when Trump was president.
At various times Trump has invoked, and lost,
both presidential immunity and "Westfall immunity".
The Westfall Act says that the US is responsible for any govt employee’s tort within the scope of his/her employment

Supreme Court makes it easier to claim 'reverse discrimination' in employment, in a case from Ohio (Mark Sherman/Associated Press)
https://apnews.com/article/supreme-court-discrimination-lawsuit-ohio-205f07a2d47d7a46cfc96a5fefdf9269
http://www.memeorandum.com/250605/p54#a250605p54

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

DOJ moves to claim $7.74 million tied to North Korean IT worker scheme https://therecord.media/north-korea-it-worker-scams-doj-civil-forfeiture-claim

This https://arxiv.org/abs/2505.18893 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play out in real world deployment such as in education, finance, healthcare, and employment sectors. AI capability evaluations can capture detail about first-order effects, such as whether immediate system outputs are accurate, or contain toxic, biased or stereotypical content, but AI's second-order effects, i.e. any long…

Wave-function microscopy: Derivation and anatomy of exact algebraic spinful wave functions and full Wigner-molecular spectra of a few highly correlated rapidly rotating ultracold fermionic atoms
Constantine Yannouleas, Uzi Landman
https://arxiv.org/abs/2506.08145

Wave-function microscopy: Derivation and anatomy of exact algebraic spinful wave functions and full Wigner-molecular spectra of a few highly correlated rapidly rotating ultracold fermionic atoms
Exploring strongly correlated spinful states of few fermionic ultracold atoms in a rapidly rotating trap, an example of which was recently realized for two fermionic $^6$Li atoms in an optical tweezer, we derive analytical (algebraic) total-spin-eigenstate wavefunctions through the development and employment of a theoretical platform that integrates exact numerical diagonalization (full configuration interaction, FCI) with symbolic language processing. For such rapid rotations, where the atoms …

What does making money have to do with crime?: A dive into the National Crime Victimization survey
Sydney Anuyah
https://arxiv.org/abs/2506.04240 https://

What does making money have to do with crime?: A dive into the National Crime Victimization survey
In this short article, I leverage the National Crime Victimization Survey from 1992 to 2022 to examine how income, education, employment, and key demographic factors shape the type of crime victims experience (violent vs property). Using balanced classification splits and logistic regression models evaluated by F1-score, there is an isolation of the socioeconomic drivers of victimization "Group A" models and then an introduction of demographic factors such as age, gender, race, and marital stat…

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 5793 nodes and 45266 edges.
Tags: Social, Online, Unweighted

A statistical framework for dynamic cognitive diagnosis in digital learning environments
Yawen Ma, Anastasia Ushakova, Kate Cain, Gabriel Wallin
https://arxiv.org/abs/2506.14531

A statistical framework for dynamic cognitive diagnosis in digital learning environments
Reading is foundational for educational, employment, and economic outcomes, but a persistent proportion of students globally struggle to develop adequate reading skills. Some countries promote digital tools to support reading development, alongside regular classroom instruction. Such tools generate rich log data capturing students' behaviour and performance. This study proposes a dynamic cognitive diagnostic modeling (CDM) framework based on restricted latent class models to trace students' tim…

Inequality's Economic and Social Roots: the Role of Social Networks and Homophily
Matthew O. Jackson
https://arxiv.org/abs/2506.13016 https://

Inequality's Economic and Social Roots: the Role of Social Networks and Homophily
I discuss economic and social sources of inequality and elaborate on the role of social networks in inequality, economic immobility, and economic inefficiencies. The lens of social networks clarifies how the entanglement of people's information, opportunities, and behaviors with those of their friends and family leads to persistent differences across communities, resulting in inequality in education, employment, income, health, and wealth. The key role of homophily in separating groups within t…

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

OpenAI takes down ChatGPT accounts linked to state-backed hacking, disinformation https://therecord.media/openai-takes-down-chatgpt-accounts-hacking

This https://arxiv.org/abs/2410.23394 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes
Auditing social-media algorithms has become a focus of public-interest research and policymaking to ensure their fairness across demographic groups such as race, age, and gender in consequential domains such as the presentation of employment opportunities. However, such demographic attributes are often unavailable to auditors and platforms. When demographics data is unavailable, auditors commonly infer them from other available information. In this work, we study the effects of inference error …

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

Overall #California officially tallies over 30,000 total job losses in first 4 months of year as #DJT admin economic policies took effect. Steepest #federal #employment

Bay Area hit hard by federal job cuts
The U.S. government’s quest to slash the federal workforce has jolted the job markets in California and the Bay Area.

This https://arxiv.org/abs/2505.18893 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play out in real world deployment such as in education, finance, healthcare, and employment sectors. AI capability evaluations can capture detail about first-order effects, such as whether immediate system outputs are accurate, or contain toxic, biased or stereotypical content, but AI's second-order effects, i.e. any long…

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 165 nodes and 726 edges.
Tags: Social, Online, Unweighted

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

dbpedia_starring: DBpedia film-actor network
A bipartite network of movies and the actors that played in them, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 157184 nodes and 281396 edges.
Tags: Economic, Employment, Unweighted
https://network…

facebook_organizations: Within-organization Facebook friendships (2013)
Six networks of friendships among users on Facebook who indicated employment at one of the target corporation. Companies range in size from small to large. Only edges between employees at the same company are included in a given snapshot.
This network has 1429 nodes and 32876 edges.
Tags: Social, Online, Unweighted

Workplace Adjustments For Energy Limiting Conditions - free online event
On Zoom, Monday 16 June 2025
1pm - 2pm BST
From Astriid, a UK charity aiming "to make working practice more inclusive for people with long-term conditions"
"Are you seeking work alongside managing a long-term health condition? Join our free Spring Into Inclusive Employment Webinars!
"Working with an energy limiting condition is tough, but workplace adjustments can make things more manageable. In this session we’ll explore examples of reasonable adjustments to your working patterns, environment, and communication preferences that can all help you to thrive in your role while taking care of yourself."
Book here:
#ChronicIllness #disability #work #access #ReasonableAdjustments #UK

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted
http…