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Record W4299562658 · doi:10.1016/s0742-6186(2005)14

Advances in Industrial & Labor Relations

2005· book· en· W4299562658 on OpenAlexaboutno aff

Bibliographic record

VenueAdvances in industrial and labor relations · 2005
Typebook
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrial relationsLabour economicsLabor relationsBusinessEconomicsManagement

Abstract

fetched live from OpenAlex

Volume 14 of Advances in Industrial and Labor Relations (AILR) contains 10 papers dealing, respectively, with HR versus finance in the control of corporate health care decisions; a theory of workplace conflict grounded in U.S. municipal collective bargaining; creative compliance in, or union defiance of, labor regulation in Australia; the extent to which union organizing means determine bargaining ends; the failure of labor-manangement cooperation at two Maine (U.S.) paper mills; the interplay between union and nonunion representation arrangements at Eurotunnel; challenges to and prospects for the industrial relations field in France; an empirical and comparative analysis of the industrial relations field in Germany; the development of the industrial relations field in Canada; and the implications of a decentralized labor market for industrial relations as a field in Australia. Taken together, these papers feature a rich mix of theory and empiricism, quantitative and qualitative analyses, and international perspectives on both industrial relations and human resources. Four of the papers were winners of the 2004 and 2005 AILR/Labor and Employment Relations Association Competitive Papers Competitions, and all papers were subject to double blind anonymous refereeing. The papers in Volume 14 of AILR will be of interest to industrial relations and human resource scholars and practitioners worldwide

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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