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High Involvement Work Systems and Job Insecurity in the International Iron and Steel Industry

2001· article· en· W2016734216 on OpenAlexvenueno aff
Nicolas Bacon, Paul Blyton

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesEconomic rentJob insecurityGlobalizationSociologyWelfare economicsWork (physics)EconomicsArtMarket economyEngineeringLaw

Abstract

fetched live from OpenAlex

Abstract The different factors behind globalization and the emergence of high involvement work practices do not necessarily carry similar implications for labour. The purpose of this paper is to examine the effects of high involvement work systems upon workers in the steel industry. The authors present results from a series of cross‐national sun>eys conducted in 1998 with 39 national trade unions from over 30 countries measuring issues such as job security, ownership changes, numerical flexibility, and union density. The findings are consistent with U.S. data reported by Osterman (1998) indicating that new work practices provide no defense against an environment of heightened Insecurity. Résumé Les différents facteurs qui encouragent la mondialisa‐tion et le dévoloppement de nouvelles pratiques de travail, dites “high involvement” (travail en équipes, rotation des fonctions, plus grande autonomie des employés) n'entraînent pas nécessairement des consequences semblables pour la main d'oeuvre. Nous examinons dans cette étude les effets de ces pratiques “high involvement” sur les travailleurs métallurgiques. Les auteurs publient les résultas de sondages interna‐tionaux effectués en 1998 auprès de 39 syndicats dans plus de 30 pays, permettant de mesurer la sécurité d'em‐ploi, les changements de propriétaire, la flexibilité numérique et la concentration syndicate. Leurs résultats s'accordent avec des donnés provenant des E‐U tels que dans Osterman (1988), et démontrent que ces nouvelles de travail ne sont pas une défense contre un environe‐ment plus hostile que jamais.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.097
GPT teacher head0.328
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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations28
Published2001
Admission routes1
Has abstractyes

Explore more

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