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Record W2948201758

“You are just a temp” : intersectional experiences of temporary help agency workers In Nova Scotia

2019· article· en· W2948201758 on OpenAlexaboutno aff
Ellen Shaffner

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaNova (rocket)Agency (philosophy)IntersectionalityPolitical scienceGender studiesSociologyEngineeringEthnologyAeronauticsSocial science
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the intersectional experiences of temporary help agency workers. Temporary help agency work is overrepresented by women and individuals occupying multiple marginalized categories of identity, such as race. I interview eight individuals about their experiences as temporary help agency workers, using an intersectional lens to \nbetter understand the complexity of their experiences as they relate to categories of identity. I use critical discourse analysis to analyze their interviews and find that consistent themes emerge related to insecurity and precariousness, as well as competence and professionalism. These themes are explored in the context of intersectional identities. This analysis provides insight into a marginalized population of workers who are understudied in current organizational research

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0250.010
Scholarly communication0.0050.002
Open science0.0010.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.229
Teacher spread0.212 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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