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Record W1978122402 · doi:10.1177/1069072708317380

Occupational Representations of Workers in Nonstandard and Precarious Work Situations

2008· article· en· W1978122402 on OpenAlexaffabout
Charles Bujold, Geneviève Fournier

Bibliographic record

VenueJournal of Career Assessment · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychologyWitnessDiversity (politics)Social psychologyWork (physics)Sample (material)PopulationPrecarious workSociologyDemographyPolitical science

Abstract

fetched live from OpenAlex

The mental representations of employment precariousness, occupational success, and work were examined in a sample of 124 White Canadian francophones (62 men, 62 women) who had experienced nonstandard and precarious work for the last 3 years. Typologies of each of these representations were derived from the content analysis of the data collected through semistructured individual interviews. The results of this study are consistent with the literature, indicating that nonstandard and precarious workers do not constitute a monolithic population. Convergences, as well as diversity, were observed in the various representations. Besides, whereas the participants' representations of employment precariousness were mostly negative, those of occupational success and work bore witness to a rather hopeful conception of work life. The results are discussed with respect to the scientific literature and to the differences that were found between genders, age groups, and educational levels. Implications for career counseling and future research are provided.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.355
Teacher spread0.299 · 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 designQualitative
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

Citations13
Published2008
Admission routes2
Has abstractyes

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