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Record W2756026753 · doi:10.1177/0020731417730011

“It’s Totally Destroyed Our Life”

2017· article· en· W2756026753 on OpenAlexafffundabout
Stéphanie Premji

Bibliographic record

VenueInternational Journal of Health Services · 2017
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsBusiness

Abstract

fetched live from OpenAlex

Precarious employment is rapidly growing, but qualitative data on pathways to and mechanisms for health and well-being is lacking. This article describes the cumulative and intersecting micro-level pathways and mechanisms between precarious employment and health among immigrant men and women in Toronto. It draws on semi-structured interviews conducted in 2014 with 15 women and 12 men from 11 countries of origin. The article describes how precarious employment, conceptualized by workers as encompassing powerlessness, economic insecurity, work for multiple employers, nonstandard and unpredictable schedules, hazardous working conditions, and lack of benefits and protections, negatively impacts workers' physical and mental health as well as that of their spouses or partners and children. It documents pathways to health and well-being, including stress, material and social deprivation, and exposure to hazards, as well as commuting difficulties and childcare challenges. Throughout, gender and migration are shown to influence experiences of work and health. The findings draw attention to dimensions of precarity and pathways to health that are not always highlighted in research and discourse on precarious employment and provide valuable insights into the vicious circle of precarious employment and health.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.542
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.080
GPT teacher head0.491
Teacher spread0.410 · 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.

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

Citations57
Published2017
Admission routes3
Has abstractyes

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