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Record W4405798141 · doi:10.1111/capa.12588

The Pigeons Coming Home to Roost: The Continuing Perils of Contracting Out in Canada

2024· article· en· W4405798141 on OpenAlex
Andrea Migone, Michael Howlett

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Public Administration · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGeographyGenealogyHistory

Abstract

fetched live from OpenAlex

Abstract This article explores the growing trend of contracting‐out public services in Canada, highlighting its increasing impact on government activities as governments have expanded outsourcing from traditional goods like office supplies to complex infrastructure management and professional services. Recent cases, including federal government spending on consulting and high‐profile failures of Public Private Partnership (P3) projects, underscore the need for critical reassessment. Two major areas—professional services and large‐scale infrastructure management through P3s—are analyzed to understand the challenges and consequences of contracting out. The discussion highlights issues including inefficiencies, governance challenges, and risks associated with outsourcing, emphasizing the blurred lines and complications often existing between public, private, and non‐profit sectors in service delivery. The article calls for reforms to enhance accountability, transparency, and efficiency, while also reconsidering the role of private and non‐profit actors in public service delivery if sustainable effective outcomes are to be achieved.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
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 head0.025
GPT teacher head0.246
Teacher spread0.221 · 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