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On the record: Interview with Peter Tinsley, Executive Director of the Institute for Justice Sector Development, Canada

2011· article· W7134963880 on OpenAlexaboutno aff
Chris Botha

Bibliographic record

VenueSouth African Crime Quarterly · 2011
Typearticle
Language
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsExecutive directorEconomic JusticeAgency (philosophy)Criminal justiceExecutive committeeRule of law

Abstract

fetched live from OpenAlex

As reported by Andrew Faull in the previous edition of SA Crime Quarterly (36), the Independent Police Investigative Directorate (IPID) Bill is expected to be promulgated into South African law towards the end of the year. Once adopted, the new law will significantly change the functions of the Independent Complaints Directorate (ICD), which is currently South Africa’s primary independent agency responsible for investigating complaints against the police. Chris Botha met up with Peter Tinsley, recognised as an expert on the rule of law and the oversight of security forces, at a recent United Nations Development Programme (UNDP) conference on policing reform in Dhaka, Bangladesh, and discussed Canadian developments on issues of police oversight.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.076
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0140.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0260.005

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 head0.096
GPT teacher head0.293
Teacher spread0.197 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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