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Record W7011797488

No-Vacation Nation Revisited

2013· other· en· W7011797488 on OpenAlexaboutno aff

Bibliographic record

VenueIssue Lab (Candid) · 2013
Typeother
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsnot available
Fundersnot available
KeywordsMandateStatutory lawOrder (exchange)Quarter (Canadian coin)Developed countryService (business)
DOInot available

Abstract

fetched live from OpenAlex

This report reviews the most recently available data from a range of national and international sources on statutory requirements for paid vacations and paid holidays in 21 rich countries (16 European countries, Australia, Canada, Japan, New Zealand, and the United States). In addition to our finding that the United States is the only country in the group that does not require employers to provide paid vacation time, we also note that several foreign countries offer additional time off for younger and older workers, shift workers, and those engaged in community service including jury duty. Five countries even mandate that employers pay vacationing workers a small premium above their standard pay in order to help with vacation-related expenses. Most other rich countries have also established legal rights to paid holidays over and above paid vacation days. We distinguish throughout the report between paid vacation -- or paid annual leave, terms we use interchangeably -- and paid holidays, which are organized around particular fixed dates in the calendar. Our analysis does not cover paid leave for other reasons such as sick leave, parental leave, or leave to care for sick relatives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.245
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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