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Record W2142926882 · doi:10.1177/0018726712463742

It’s all in the mix: Determinants and consequences of workforce blending in call centres

2013· article· en· W2142926882 on OpenAlex
Hyunji Kwon, Danielle Van Jaarsveld

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

VenueHuman Relations · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWorkforceTurnoverFull-timeBusinessWork (physics)Demographic economicsSurvey data collectionLabour economicsEconomicsEconomic growthManagementEngineering

Abstract

fetched live from OpenAlex

Supplementing the full-time permanent workforce with part-time staff is a widespread practice among firms. To better understand this dynamic, we evaluate how work organization choices influence the degree of part-time use by analysing North American survey data from call centre establishments. We also evaluate the effect of part-time use on the voluntary turnover behaviour of the full-time permanent workforce. For example, firms with greater reliance on a high involvement approach to work organization relied less on part-time use than those pursuing a low involvement approach. For firms that choose to rely heavily on part-time use, we find that this decision has consequences for their full-time permanent workforce, namely higher voluntary turnover among their full-time permanent staff. Interestingly, greater reliance on a high involvement approach appears to weaken the positive relationship between part-time use and voluntary turnover among the full-time employees.

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 score0.024
Threshold uncertainty score0.574

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 studies0.0000.000
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 head0.150
GPT teacher head0.439
Teacher spread0.288 · 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