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Record W2973519705 · doi:10.1108/qrom-02-2019-1735

Precarious work, harassment, and the erosion of employment standards

2019· article· en· W2973519705 on OpenAlexaffabout
John Perry, Adriana Berlingieri, Kiran Mirchandani

Bibliographic record

VenueQualitative Research in Organizations and Management An International Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsInstitute for Christian StudiesUniversity of TorontoYork UniversitySt. Francis Xavier University
Fundersnot available
KeywordsHarassmentRedressLegislatureContext (archaeology)Labour lawPrecarious workNarrativeSociologyPolitical sciencePower (physics)Work (physics)Public administrationPublic relationsLawEngineeringGeography

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine experiences of harassment within the context of precarious work, which in Canada is shaped by subnational legislative frameworks. Design/methodology/approach A narrative inquiry approach to data collection and analysis was adopted. The paper draws from 72 interviews conducted with workers in precarious jobs from various industries in three cities in the Canadian province of Ontario, as well as 52 employment standards officers (ESOs) from 15 local Ministry of Labour offices in every region across the province. Placing workers’ stories in counterpoint to those of ESOs brings them into conversations about the law to which they would normally be left out. Findings The main finding of this paper is that harassment and employment standards (ES) violations are interrelated phenomena experienced as abuses of power and as tactics of control occurring within a context that is shaped by legislative frameworks. Originality/value This paper demonstrates that for workers in precarious jobs legislative frameworks and labor market practices in Ontario do not provide adequate redress for harassment and ES violations. In so doing, legislative frameworks render invisible the power imbalances within the employment relationship and obscure the interrelatedness of harassment and the wider erosion of workplace norms.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.630
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.077
GPT teacher head0.515
Teacher spread0.438 · 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.

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

Citations18
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueQualitative Research in Organizations and Management An International JournalSame topicWorkplace Violence and BullyingFrench-language works237,207