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Record W1573178483 · doi:10.1108/13665621211239877

Learning racial hierarchies

2012· article· en· W1573178483 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 · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsCurriculumPublic relationsContext (archaeology)Service (business)PsychologyKnowledge managementPedagogyMarketingBusinessComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Purpose This paper aims to focus on the communications skills training given to transnational call center workers in India whose jobs involve providing customer service to Western customers. Emotion work is a key component of customer service jobs, and this work is constructed as an important soft skill. Design/methodology/approach Between 2002 and 2009, 100 interviews were conducted with customer service workers, trainers and managers in India. Respondents provided detailed descriptions of their training curricula and some workers shared their complete set of training booklets. The analysis for this paper is based on a section of the curricula that focuses on communication skills used during training programs for Indian customer service agents. Findings Training curricula designed to enhance the communication skills of call center agents are vehicles through which workers learn to make sense of their place in social, economic and cross‐national hierarchies. Research limitations/implications The study of emotion work in relation to workplace learning occurs in the context of global economic regimes. Originality/value Training curricula on communication skills serves to help workers to cope with the expression of customer abuse. Rather, there is a need to develop regulations that protect workers from customer aggression.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.019
GPT teacher head0.342
Teacher spread0.323 · 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