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Record W3171995224 · doi:10.1080/0023656x.2021.1933403

The Development of Employment Protection Legislation in the United Kingdom (1963-2013)

2021· article· en· W3171995224 on OpenAlexaff
Mohammad Ferdosi

Bibliographic record

VenueLabor History · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLegislationStatuteDeregulationEmployment protection legislationLabour lawFlexibility (engineering)Labour economicsCapital (architecture)EconomicsIntervention (counseling)Market economyEntitlement (fair division)LawPolitical scienceBusinessUnemploymentEconomic growth

Abstract

fetched live from OpenAlex

In Britain, employment protection legislation developed in ways far more dynamic, contradictory and toothless than is commonly assumed by conventional theories. Contrary to prevailing understanding, the first job security laws were intended to increase labor market flexibility, encourage mobility and undermine union power. They were introduced by Conservative governments, curiously offering organized labor some benefits, even though both sides of industry opposed legal intervention. Hence, job security could be obtained and extended without capital (and at first labor’s) consent. What is more, opposite to the liberalizing pressures one would expect to see in an archetypal market economy, the UK has been characterized by far more protective measures than deregulatory ones. However, the record shows that in many ways they have failed to offer tangible benefits to workers. Thus, there is a significant gap between law in the statute books and law in action. Additionally, two-tier labor market reform has contributed to the growing dualism between insiders and outsiders and might explain why deregulation of temporary employment has been the name of the game in the last couple of decades in the UK.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.130
GPT teacher head0.369
Teacher spread0.239 · 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 designNot applicable
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

Citations2
Published2021
Admission routes1
Has abstractyes

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