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Standardising public service: the experiences of call-centre workers in the Canadian federal government

2009· article· en· W2755191330 on OpenAlexaffabout
Norene Pupo, Andie Noack

Bibliographic record

VenueWork Organisation Labour & Globalisation · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsCall centrePublic sectorGovernment (linguistics)Work (physics)Private sectorPublic relationsPublic servicePublic administrationBusinessService (business)New public managementPolitical scienceEconomic growthMarketingEconomicsEngineering

Abstract

fetched live from OpenAlex

This paper explores the impact of the adoption of neoliberal economic policies and practices on public sector jobs within the Canadian Federal government. In recent years, employment in the public sector has been increasingly shifted to a call-centre format, thereby transforming the working conditions of public servants as well as access to services enjoyed by Canadians. By adopting work practices, technologies and managerial techniques usually found within the private sector, we argue that the call-centre format fundamentally transforms the notion of public ‘service’ from secure employment and a dynamic career to that of a routine, Taylorised job. In this process, standardised interactions redefine the notion of public service and the role of the public servant.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.904

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0780.028
Scholarly communication0.0110.004
Open science0.0040.010
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0060.001

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 head0.022
GPT teacher head0.294
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2009
Admission routes2
Has abstractyes

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