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Precarious employment and workplace health outcomes in Britain

2023· article· en· W4317467825 on OpenAlexfundno aff
Getinet Astatike Haile

Bibliographic record

VenueSocial Science & Medicine · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersEconomic and Social Research CouncilDepartment for Business, Innovation and SkillsRoyal Economic SocietyInstitute of Social and Economic Research, Memorial University of NewfoundlandSociety of Labor EconomistsUniversity of Essex
KeywordsSociologyDemographic economicsPolitical scienceLabour economicsEconomic growthEconomics

Abstract

fetched live from OpenAlex

RATIONALE: The world of work is changing rapidly, and precarious employment is becoming more prevalent in Britain and elsewhere, particularly since the 2008 financial crisis. This is despite the evidence linking employment precarity to adverse health outcomes, and the policy discourses advocating for high-quality jobs. OBJECTIVE: I seek to establish empirically the extent and nature of the potential link between employment precarity and health outcomes, which is done chiefly at the workplace level. The research can be vital from the perspective of informing policy, given that the workplace represents the level where key policy levers operate. METHODS: I use nationally representative data from the British Workplace Employment Relations Survey. Four workplace health outcomes (WHOs; viz., injuries, illnesses, job satisfaction, and job anxiety) have been used to examine if organizations with precarious employment arrangements are likely to experience adverse health outcomes. I use alternative econometric approaches to compare organizations that reported to have three types of precarious employment arrangements, viz., shift working, annualised hours, and zero-hours contracts (ZHCs), vis-à-vis their counterparts without such arrangements. RESULTS: The results obtained reveal that workplaces with precarious employment arrangements are significantly unhealthier, and those with the most insecure form of precarious employment perform particularly worst in this respect. CONCLUSIONS: Precarious employment may become ever more prevalent as organizations contend with economic fallouts from shocks such as Brexit or Covid-19. This may lead to sub-standard health outcomes. The positive influence of trade unions on working conditions has largely been decimated and the workforce in Britain is ageing. These combinations may pose significant challenges to public health including mental health crises. Public policy ought to help minimise adverse health outcomes linked to employment precarity.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.075
GPT teacher head0.473
Teacher spread0.398 · 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 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

Citations14
Published2023
Admission routes1
Has abstractyes

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