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Record W2085367708 · doi:10.1108/00070700010329353

Singapore Prison Service

2000· article· en· W2085367708 on OpenAlexaboutno aff
Léo‐Paul Dana, Teresa E. Dana

Bibliographic record

VenueBritish Food Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonWork (physics)CorporationService (business)OfficerBusinessMarketingPublic relationsManagementSociologyPolitical scienceCriminologyEngineeringEconomicsLawFinance

Abstract

fetched live from OpenAlex

“Work is not a right; it is a privilege”, said Wong Hoi Kit, commenting on the labour policy implemented by the Singapore Prison Service. “We have a captive labour market; the prisoners are eager to work, as it gives them a chance to interact with others, while it helps the time go by.” The motto of the Singapore Prison Service was “Security – Humanity – Rehabilitation”, and considerable energy was focused on rehabilitating inmates by teaching them skills, through on‐the‐job training, during their prison terms. To this end, inmates were put to work, and that which they produced was sold for profit. Mr Wong – who had his MBA from Queen’s University, Canada – was chief executive officer of Singapore’s Corporation of Rehabilitative Enterprises (SCORE); in this capacity, he was seeking to identify commercially‐viable food industry opportunities, which would meet the objectives and constraints of the prison environment. These could include primary production, manufacturing, packaging and catering.

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)0.000
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 score0.926
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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

Citations4
Published2000
Admission routes1
Has abstractyes

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