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‘Doing Something Meaningful’: Gender and Public Service during Municipal Government Restructuring

2007· article· en· W2162006441 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

VenueGender Work and Organization · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRestructuringPublic sectorPublic relationsPublic serviceGovernment (linguistics)Front lineSociologyNew public managementService (business)Work (physics)Economic restructuringBusinessPolitical scienceEconomic growthMarketingEconomics

Abstract

fetched live from OpenAlex

Research on the gendered dimensions of workplace restructuring often focuses on management strategies and their structural consequences. Less attention is paid to employees’ gendered practices. In this article, we analyse material from in‐depth interviews with front‐line public‐sector employees following a major reorganization of their jobs and workplaces. Our study makes three contributions to theory and research on gender and organizational change. Firstly, it highlights the micro‐level dynamics at the heart of restructuring by showing how workers engaged with an ideal that was central to their understanding of public‐sector work — the public‐service ethic — which they believed was threatened. Secondly, it highlights the importance of gendered meanings and identities in shaping how workers engaged with the public service ethic. Thirdly, the study shows that front‐line employees did not passively accept management plans for change but struggled to resist or transform them in gendered strategies for dealing with organizational change.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.059
GPT teacher head0.257
Teacher spread0.198 · 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