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Record W4403156076 · doi:10.52403/ijrr.20241006

Analysis of Mapping the Private Sector Involvement in Correctional Institution Development and Operation Based on Public-Private Partnership (PPP) Model

2024· article· en· W4403156076 on OpenAlexaboutno aff
Sani Siti Aisyah, Adrianus Meliala, Iqrak Sulhin

Bibliographic record

VenueInternational Journal of Research and Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipPublic–private partnershipInstitutionBusinessPrivate sectorPublic administrationEconomic growthFinancePolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

This study integrates various views on the Public-Private Partnership (PPP) model in correctional institution based on the experiences of various countries (United States, United Kingdom, Australia, France, Japan, Canada). Referring to the terminology of PPP in a broad sense, the correctional institution PPP models according to this study are: 1) the “private governance” model; 2) the “hybrid management” model; 3) the “service infrastructure” model; and 4) the “contracting out certain limited functions” model. The characteristics of the four correctional institution PPP models are mapped in the task specifications in correctional institution, both in the development and operation stages of correctional institution. In the correctional institution development stage, there are design, construction and financing. In the correctional institution operation stage, there are accommodation services or building maintenance; management and administration; and correction services. Only the “private governance” model regulates the involvement of the private sector in all stages of correctional institution development and operation. Through an analysis of the terminology of “correctional institution” and correction function, this study elaborates on the characteristics of the four correctional institution PPP models by mapping private sector involvement in correctional services (order, amenity and service) which show the specific functional characteristics of correctional institution. The “private governance” model allows private sector involvement in all three aspects of correctional services, while the “service infrastructure” model does not allow the private sector to be involved in all aspects of the correctional services in question. The “hybrid management” model and the “contracting out certain limited functions” model allow private sector involvement in the amenity and service aspects, but not in the order or custody aspects. Keywords: correctional institution, correctional service, order-amenity-service, Public-Private Partnership (PPP)

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.263
GPT teacher head0.446
Teacher spread0.183 · 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 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
Published2024
Admission routes1
Has abstractyes

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