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Record W2903977514 · doi:10.4324/9781351146166-9

Canada’s Slow Accession to the NAALC

2017· book-chapter· en· W2903977514 on OpenAlexaboutno aff
Robert G. Finbow

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAccessionGeographyEconomicsInternational tradeEuropean union

Abstract

fetched live from OpenAlex

Canadian participation was hampered, typically, by federal-provincial squabbles. Federal accession to North American Free Trade Agreement (NAFTA) did not compel provincial acceptance of North American Agreement on Labour Cooperation (NAALC), which involved labour matters under provincial control. The Canadian government hoped the intergovernmental committee would reach consensus on responses to submissions, but could act on its own in accordance with the NAFTA labour accord if agreement was lacking among provinces. Canadian unionists remained hostile to NAFTA, and advocated alternative models of transnational social unionism. Canadian National Administrative Office (NAO) 98-2, dealing with the Yale case, covered the same issues raised in MEX NAO 9804. The Labour Policy Association and EFCO submitted a lengthy document to the Canadian NAO. Canada&s;s use of the NAALC submissions process has been limited so far. This reflects in part the attitude of Canadian officials who preferred to emphasize cooperative activities and communication under NAALC, not confrontational submissions.

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)0.005
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.957

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0120.005
Scholarly communication0.0110.002
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0260.004

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 head0.034
GPT teacher head0.298
Teacher spread0.265 · 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
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
Published2017
Admission routes1
Has abstractyes

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