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Les enjeux de la privatisation des établissements de détention

2005· article· fr· W2040483822 on OpenAlexaff
Daniel Pelletier, Éric Robard

Bibliographic record

VenueCanadian Public Administration · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversité du Québec en Outaouais
Fundersnot available
KeywordsPolitical scienceHumanitiesPrudencePhilosophy

Abstract

fetched live from OpenAlex

Sommaire: Le mouvement de privatisation des prisons et des pénitenciers a connu un développement fdgurant dans les pays anglo‐saxons de 1990 à 2000. Depuis, plu‐sieurs administrations publiques, en particulier aux États‐Unis, ont réalisé que les avantages escomptés et annoncés par les grandes corporations du secteur privé n'étaient pas vraiment au rendez‐vous, au point ou on parle actuellement de l'éclate‐ment de la bulle de la privatisation. Le débat est aujourd'hui dominé par les positions extrêmes de l'entreprise privée ‐ qui continue à vanter ses établissements ‐ et des associations de défense de droits civiques et des syndicats, qui adoptent la position opposée. L'examen des recherches empiriques ayant été faites à ce sujet révèle que la majorité des études comparatives présentent des failles méthodologiques importantes qui ne permitting pas d'asseoir la prise de décision sur des bases solides. Il importe donc d'agir avec prudence dans ce secteur fortement influencé par des enjeux politiques, sociaux et communicationnels dont l'ampleur reste encore insoupconnée. Abstract: From 1990 to 2000, the trend towards the privatization of jails and penitentiaries in Anglo‐Saxon countries grew very rapidly. Since then, several public administrations, particularly in the United States, have come to realize that the benefits anticipated by the big corporations in the sector never actually materialized; in fact, we now talk of the bursting of the privatization bubble. Today, the debate is dominated by the extreme positions taken by private enterprise, which continues to boast about its institutions, and by human and trade‐union rights advocacy associations, which are adopting the opposite position. The review of empirical research on this topic indicates that most comparative studies have significant methodological flaws that undermine the foundations of the decision‐making process. It is therefore important to act with caution in this sector, which is highly influenced by political, social and communicational issues, the magnitude of which is yet unknown.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.355
Teacher spread0.303 · 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.

Study designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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