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Record W3163618085

Beyond a Boundary: On Transnational Labour Law, Discontent and Emancipatory Social Justice

2019· article· en· W3163618085 on OpenAlexaffabout
Adelle Blackett

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsMcGill University
Fundersnot available
KeywordsDignityConstitutionLawPolitical scienceEconomic JusticeDemocracyCreedDeclarationDestiny (ISS module)SociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The transnational futures of international labour law (TFILL) is the title given to the 12-week, bilingual course taught at McGill University in winter 2019,3 the place where the ILO took wartime refuge from 1940 to 1948. In its 1919 constitution, ILO members arm that ‘universal and lasting peace can be established only if it is based on social justice’. In the 1944 constitutional annex, the Declaration of Philadelphia, the ILO goes further to espouse a vision that might be considered transnational – the war against want is to be waged not only within each nation, but by ‘continuous and concerted international effort in which the representatives of workers and employers, enjoying equal status with those of governments, join with them in free discussion and democratic decision with a view to the promotion of the common welfare, of all human beings, irrespective of race, creed or sex, who have the right to pursue both their material well-being and their spiritual development in conditions of freedom and dignity, of economic security and equal opportunity’. The TFILL seeks to speak to the laid off General Motors autoworker in Oshawa whose father was an autoworker, and whose grandfather was an autoworker, and who, faced with a decent lifestyle that is falling apart, proclaims: ‘the market plays with peoples’ lives’. The TFILL seeks at the same time to speak to the destitute worker in Mexico who hopes the job will be his and who migrates internally, with 100 more people all in search of that one job that will not be at conditions anything like the conditions of that GM worker in Oshawa.

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)0.013
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0210.112
Scholarly communication0.0230.031
Open science0.0030.021
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.291
Teacher spread0.279 · 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 designTheoretical or conceptual
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
Published2019
Admission routes2
Has abstractyes

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