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Record W2004801325 · doi:10.1108/13665620710757842

Transgressive vs conformative: immigrant women learning at contingent work

2007· article· en· W2004801325 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Workplace Learning · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOriginalityValue (mathematics)PsychologyProfessional learning communityImmigrationSocial psychologyTransgressiveVulnerability (computing)Experiential learningSociologyPublic relationsPedagogyCreativityPolitical science

Abstract

fetched live from OpenAlex

Purpose The paper seeks to explore workers' learning in relation to the racialized and gendered organization of contingent work. Design/methodology/approach This paper is informed by Marxist theorization of labour power and learning. It draws on the interview data of 24 highly educated immigrant women from the research project “Skilled In Vulnerability: Work‐related Learning Amongst Contingent Workers”. Findings The two types of learning that we have identified include conformative and transgressive learning. Conformative learning refers to the learning that workers engage in to conform to the workplace expectations. The workers are not rewarded or acknowledged for their learning endeavors, and their efforts end up being appropriated by employers to maximize surplus value. Transgressive learning refers to the learning initiatives undertaken by workers to challenge and transcend the depressing work environment and life conditions. Research limitations/implications This research was not able to capture what conditions facilitate transgressive learning versus conformative learning. Practical implications The study first calls on the state to deal with the systemic negation of professional immigrants' previous skills and learning experiences. Second, it encourages employers to provide appropriate training and reward the workers for their learning endeavor. Third, drawing on the research findings, work educators could help foster the forms of learning that are conducive to workers' better control of work and life. The authors also suggest that to optimize their work and life opportunities in general, immigrant women workers need to come together, exchange information and knowledge, learn from each other, and form collective actions amongst themselves. Originality/value This paper contributes to the literature on workplace learning from a learning perspective. It is one of the first endeavors to look at how highly educated immigrant women learn to exercise agency to challenge contingent work structures.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.317
Teacher spread0.304 · 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