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The Bases of Compromise in the Workplace: A Theoretical Framework

2006· article· en· W1980845767 on OpenAlexaff
Paul Edwards, Jacques Bélanger, Martyn Wright

Bibliographic record

VenueBritish Journal of Industrial Relations · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGRASPCompromiseMatrix (chemical analysis)Task (project management)Capital (architecture)TeamworkFocus (optics)Computer sciencePositive economicsPublic relationsKnowledge managementSociologyManagement scienceEconomicsPolitical scienceManagementSocial science

Abstract

fetched live from OpenAlex

Abstract Schemes for workplace participation have long been promoted and vilified. Such conflicting views have been brought into sharp focus by the highly variable results of such practices as teamwork. Yet a theoretical framework to grasp workplace co‐operation is lacking. This paper develops a framework on the basis of theory and a review of a wide range of empirical studies. Capital and labour each have two sets of ‘concerns’: over ‘control’ of the workplace and the longer term ‘development’ of the productive forces. Cross‐classifying these concerns produces a matrix of patterns of workplace relations. Each cell of the matrix represents a different combination of the interests of capital and labour. The matrix can be used to map participation schemes so as to capture their varying features. The next task, pursued elsewhere, is to identify the conditions leading to locations in different cells of the matrix.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0070.033
Scholarly communication0.0130.010
Open science0.0030.007
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.020
GPT teacher head0.289
Teacher spread0.268 · 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 designTheoretical or conceptual
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

Citations83
Published2006
Admission routes1
Has abstractyes

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