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Record W1500824972

A Tribute to Gilbert Levine: His Pioneering Role in Labour Research

2011· article· en· W1500824972 on OpenAlexaboutno aff
Jane Stinson

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsTributeSociologyFace (sociological concept)Economic JusticeLawManagementArt historyPolitical scienceSocial scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

It is not possible to adequately sum up the life and contributions of one of the most influential labour leaders of his time in one short article. So this tribute to Gilbert Levine (February 3, 1924–November 16, 2009) provides a thin slice into his rich life, focusing on Gil’s early years, his unique and innovative approach to labour research, and some of his legacies. An imaginative left-wing labour researcher, Gil left a legacy of activism and commitment to a variety of social justice causes. Well known in Canadian labour circles, Gilbert Levine was the first Research Director of the Canadian Union of Public Employees (cupe). Under Gil’s leadership, cupe’s Research services became the envy of other Canadian labour organizations. This was the important public face of a man who was also much more. Gil was a mentor to many, a historian, peace activist, socialist, folk music advocate and, above all, an amazing organizer. He was also dedicated to his family: as the caring and steadfast husband to Helen Zivian Levine for 62 years; as the adored and proud father to daughters Ruthie (Tamara) and Karen; as the engaged father-in-law with Larry Katz and Michael Enright; and as the devoted Zaide to Rachel and Daniel Levine Katz and Gabriel Enright Levine. Up to about a month before his death, Gil enjoyed relatively good health and continued to be active in support of many progressive causes. He maintained close contact with cupe up to the end, sending cupe National President Paul Moist about 20 emails urging action on various causes in the few months prior to his death.1 His diagnosis of acute leukemia and his subsequent rapid demise

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)0.022
metaresearch head score (Gemma)0.041
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.050
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0120.026
Scholarly communication0.0160.010
Open science0.0020.005
Research integrity0.0070.024
Insufficient payload (model declined to judge)0.0060.005

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 head0.058
GPT teacher head0.296
Teacher spread0.238 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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