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Record W4323663215 · doi:10.1111/bjir.12733

Two paths towards job instability: Comparing changes in the distribution of job tenure duration in the United Kingdom and Germany, 1984–2014

2023· article· en· W4323663215 on OpenAlexaff
Xavier St‐Denis, Matissa Hollister

Bibliographic record

VenueBritish Journal of Industrial Relations · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcGill UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsDistribution (mathematics)Duration (music)Demographic economicsPolarization (electrochemistry)KingdomLabour economicsEconomics

Abstract

fetched live from OpenAlex

Abstract This study provides novel evidence on trends in job stability in the United Kingdom and Germany, two capitalist economies with distinct sets of institutions and labour market reform trajectories. While we find evidence of an increase in short‐term jobs for men in both countries, we also find important differences in the overall patterns of change in the distribution of job tenure duration. The United Kingdom follows a masked instability pattern with opposite job stability trends for men and women. On the other hand, we find evidence of a polarization of the job tenure distribution among men and women in Germany. These findings are partly consistent with expectations from the dualization literature, emphasizing a growing segmentation of the labour market between insiders and outsiders. More generally, this study highlights the existence of multiple paths towards increased job instability that appear to be rooted in institutional differences.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.161
GPT teacher head0.394
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2023
Admission routes1
Has abstractyes

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