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Record W7008663166

Contemporary employers' organizations: Adaptation and resilience

2022· article· en· W7008663166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueORCA Online Research @Cardiff · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological resilienceCollective actionAdaptation (eye)IdeologyAction (physics)Work (physics)PoliticsState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

This book argues that employers’ organizations are resilient organizations that adapt to changing circumstances by developing new practices. Adaptation has been prompted by changing economic and social contexts, including state interventions and union activities. Contexts vary over time, across countries and world regions. The purpose of the book is to explore these variations and their impacts on employer organization. The book covers the following themes across four book sections: theoretical perspectives on employer collective action; employers’ organizations in different types of capitalism; different types of employers’ organizations; and international and comparative employer interest representation. Theoretical explorations examining employer power, political preferences, meta-organizing, and ideological foundations are complemented by studies of employers’ organization in China, Denmark, Australia, Germany, Turkey, Canada, and the UK. Different types such as regional and international employers’ organizations are also examined. The book is one of the few edited volumes to examine employer collective action within work and employment, and is the first since 1984 to consider western and non-western contexts. The book will be of interest to employment relations and sociology of work researchers, scholars, advanced students, and practitioners as it brings new perspectives to an understudied actor in employment relations: employers’ organizations.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.099
GPT teacher head0.406
Teacher spread0.307 · 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