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Record W4380249433 · doi:10.1515/9780773576766

Regulating Flexibility

2009· book· en· W4380249433 on OpenAlexaboutno aff
Mark P. Thomas

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2009
Typebook
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)Computer scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

In a contemporary labour market that includes growing levels of precarious employment, the regulation of minimum employment standards is intricately connected to conditions of economic security. With a focus on the role of neoliberal labour market policies in promoting "flexible" employment standards legislation - particularly in the areas of minimum wages and working time - Mark Thomas argues that shifts toward "flexible" legislation have played a central role in producing patterns of labour market inequality. Using an analytic framework that situates employment standards within the context of the broader social relations that shape processes of labour market regulation, Thomas constructs a case study of employment standards legislation in Ontario from 1884 to 2004. Drawing from political economy scholarship, and using a qualitative research methodology, he analyses class, race, and gender dimensions of legislative developments, highlighting the ways in which shifts towards "flexible" employment standards have exacerbated longstanding racialized and gendered inequities. Regulating Flexibility argues that in order to counter current trends towards increased insecurity, employment standards should not be treated as a secondary form of labour protection but as a cornerstone in a progressive project of labour market re-regulation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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
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

Citations31
Published2009
Admission routes1
Has abstractyes

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