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Record W2905402124 · doi:10.1111/ntwe.12125

‘Get paid, get out’: online resistance to call centre labour in Canada

2018· article· en· W2905402124 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNew Technology Work and Employment · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsCarleton University
Fundersnot available
KeywordsEmotiveResistance (ecology)AlienationSpace (punctuation)Public relationsWorkforceSociologyPolitical scienceMedia studiesLawComputer science

Abstract

fetched live from OpenAlex

This qualitative content analysis of 503 anonymous online reviews of 52 Canadian call centres posted on RateMyEmployer.ca explores how forms of resistance, alienation and emotional labour are expressed outside of the workplace. Our study finds that digital publics are producing emotive insurgencies and networks of support within marginalised communities that undermine employers’ attempts at deadening the workforce. The reviews exemplify worker awareness of exploitation as some connect these issues to broader socio‐economic factors that are beyond their control. While many offer tactics to challenge and destabilise their working conditions and culture as well as heartfelt and sarcastic warnings of what one might expect if they pursue call centre employment, others use the online space as a means of venting frustrations, eliciting empathies and expressing sentiments of hope(lessness).

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.018
GPT teacher head0.298
Teacher spread0.280 · 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