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Record W2166715715 · doi:10.7202/007819ar

Contract Governance and the Canadian Public Sector

2004· article· en· W2166715715 on OpenAlexaffvenueabout
Suzan Ilcan, Daniel O’Connor, Marcia Oliver

Bibliographic record

VenueRelations industrielles · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork UniversityUniversity of Windsor
Fundersnot available
KeywordsCorporate governancePublic sectorPublic administrationContext (archaeology)Public serviceState (computer science)Private sectorFlexibility (engineering)Work (physics)Service (business)Political sciencePublic relationsBusinessLaw and economicsSociologyEconomicsManagementLawMarketingFinanceEngineering

Abstract

fetched live from OpenAlex

This essay examines the changing character of public sector work in the Canadian federal public service context. It is based on an empirical examination of various forms of contractual relations currently operative within the Canadian state and on a comparative approach of other western liberal state reform initiatives. We argue that contract governance is an ongoing process involving distinct interrelations between the public and private sectors. In this context, we identify various forms of contract governance and flexibility schemes that have been enfolded and refolded into the conventional structures of governance, and unfolded into a liminal space between the state and civil society through the establishment of nonstandard work and the creation of alternative service delivery programmes.

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)0.003
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.195
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0170.017
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.250
Teacher spread0.224 · 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

Citations26
Published2004
Admission routes3
Has abstractyes

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