MétaCan
Menu
Back to cohort
Record W4401165848 · doi:10.1186/s12889-024-19363-3

Precarious work on the rise

2024· article· en· W4401165848 on OpenAlexaffabout
Melissa Perri, Patricia O’Campo, Paneet Gill, Virginia Gunn, W Rachel, Pearl Buhariwala, Elham Rasoulian, Wayne Lewchuk, Sherry Baron, Theo Bodin, Carles Muntaner

Bibliographic record

VenueBMC Public Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCape Breton UniversityMcMaster UniversityPublic Health OntarioUniversity of TorontoSt. Michael's Hospital
FundersForskningsrådet om Hälsa, Arbetsliv och VälfärdVetenskapsrådet
KeywordsMental healthContext (archaeology)Precarious workPandemicMedicineRacismBiostatisticsPublic healthQualitative researchGerontologyCoronavirus disease 2019 (COVID-19)SociologyPsychiatryWork (physics)Gender studiesNursingGeographySocial science

Abstract

fetched live from OpenAlex

Precarious employment (PE) is non-standard employment with uncertain and unstable contract duration, low wages, and limited labour protections and rights. Research has associated PE with workers' poor mental health and well-being; however, this association has been studied primarily using quantitative methods. This qualitative study seeks to examine the mechanisms between PE and mental health in the context of the COVID-19 pandemic in Ontario, Canada. Specifically, it aims to address: (Benach J, Muntaner C. Precarious employment and health: developing a research agenda. J Epidemiol Community Health. 2007;61(4):276.) How do PE and working conditions impact the mental well-being of workers and members of their close families or households?; and (Kreshpaj B, Orellana C, Burström B, Davis L, Hemmingsson T, Johansson G, et al. What is precarious employment? A systematic review of definitions and operationalizations from quantitative and qualitative studies. Scand J Work Environ Health. 2020;46(3):235-47.) How has the COVID-19 pandemic shaped these relationships? Semi-structured interviews were conducted with a sample of 40 individuals aged 25-55 engaged in PE during the first wave of the COVID-19 pandemic or whose employment was terminated due to the pandemic. Results showed that PE amplified mental health symptoms and illnesses for workers and their families. These experiences were described as chronic, where impacts were exerted on precariously employed workers through systemic discrimination and racism, colonialism, workplace hierarchies, and gendered ideologies. PE negatively impacted mental health through emotional stress about employment and income instability, insecurity, and loss; added pressure for households where both partners are engaged in PE; impacted ability to maintain or improve overall health and well-being; and barriers to social connectedness. Overall, this study characterizes multiple dimensions of PE and the consequences they have on the mental health of workers and their families.

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)0.002
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.005
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.172
GPT teacher head0.448
Teacher spread0.276 · 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

Citations16
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueBMC Public HealthSame topicEmployment and Welfare StudiesFrench-language works237,207