MétaCan
Menu
Back to cohort
Record W83294707

Fairness at Work (The Arthurs Report): An Argentinean Perspective.

2008· article· en· W83294707 on OpenAlexaboutno aff
Adrián Goldin

Bibliographic record

VenueComparative labor law & policy journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEmployment, Labor, and Gender Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Perspective (graphical)BusinessPoint (geometry)Object (grammar)Private sectorRelation (database)Public relationsPolitical scienceLawEngineering
DOInot available

Abstract

fetched live from OpenAlex

This brief reflection on some aspects of the final report of the Federal Labour Standards Review written by Harry Arthurs will not disregard the vast gap in the degree of development between Canadian and Argentinean economies. A gap that becomes even wider in relation to the specific object of this report—labor standards for workers employed in federally regulated enterprises—that refers to a peculiar business and labor universe: it comprises a total of 12,000 enterprises and 840,000 employees, 86% of which work in companies of over 100 employees; of all those workers, no less than 75% of them work in enterprises of the economic weight of banks, airlines, postal services companies, and telecommunications firms. It should be borne in mind that 99% of the establishments in Argentina employ no more than 50 workers each, and that these very establishments provide employment for over 70% of the manpower working in the private sector. Such an abysmal difference between these two realities certainly calls for care and prevention, but does not necessarily inhibit the study of the Canadian jurist from being interpreted from an Argentinean point of view. Because Labour Standards, open to multiple national varieties—different models, different rhythms and states in development, different emphasis—configure, notwithstanding, a historical category endowed with certain universal features whose evolution process in changing times must be up to the jurists to interpret and distinguish from the one that, probably simultaneously, permeates their national law along more strictly local paths. Within the framework of a weighty and thorough, well written, and better thought out piece of work, I have chosen a small number of

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.144
GPT teacher head0.420
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueComparative labor law & policy journalSame topicEmployment, Labor, and Gender StudiesFrench-language works237,207