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Record W2463499564 · doi:10.1177/0730888416656031

Helping Without Caring

2016· article· en· W2463499564 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

VenueWork and Occupations · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsCanadian Institute for Advanced Research
Fundersnot available
KeywordsFeelingEmotional laborOptimismSocial psychologyPsychologySettlement (finance)DebtAngerBusiness

Abstract

fetched live from OpenAlex

Research on emotional labor has shown that workers who are required to feign emotions are more likely to suffer ill effects than those who are able to deep act their emotions. The authors argue that what may stand between surface and deep acting is workers’ ability to claim the kind of socially valued role that makes their enactment of emotional display rules seem consistent with that role. The authors draw on observations and interviews with workers in the debt settlement industry to show that men who were agents were able to claim that they were educating clients rather than selling to them. This made it possible for them to avoid feeling that they were taking advantage of customers who might have been better off without the service they sold them. Men were able to help clients in a way that did not conflict with their role as salespeople. Women agents, by contrast, were not able to style themselves educators. Instead, clients and employers expected them to adopt a therapeutic role with their clients. However, this role conflicted sharply with the expectation that agents be effective salespeople and forced women agents to feign feelings of care and optimism. Clients, coworkers, and employers, the authors show, shaped workers’ freedom to define their emotional labor in satisfying ways.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.036
GPT teacher head0.350
Teacher spread0.314 · 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