MétaCan
Menu
Back to cohort
Record W2738546127

The Experience of the Survivors of the Neoliberal Reforms of the Civil Service in Quebec

2009· article· en· W2738546127 on OpenAlexaboutno aff
Natalie Rinfret, Christine Ngo Manguelle, Monique Lortie‐Lussier

Bibliographic record

VenueRevue française d’administration publique · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsInjusticeFeelingPolitical scienceWork (physics)Mental healthOverworkCivil serviceService (business)Trade unionPublic administrationPublic servicePublic relationsPsychologyNursingSocial psychologyMedicineBusinessPsychiatryEconomicsLabour economicsLaw
DOInot available

Abstract

fetched live from OpenAlex

The policy of reducing staff numbers in the civil service in Quebec has had a lasting impact on the mental health and attitudes at work of the one-third of employees who survived the draconian redundancies announced in 1997. In surveys conducted in 1998 and 2000, examples of overwork, exhaustion, lack of satisfaction, and feelings of injustice were reported, by trade union members rather than by managers. The author concludes with recommendations for facilitating adaptation to structural change in public administration and making the ongoing negative effects less intense.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueRevue française d’administration publiqueSame topicSocial Sciences and GovernanceFrench-language works237,207