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Record W4300837505 · doi:10.51952/9781447313656.ch003

Public inquiries

2015· book-chapter· en· W4300837505 on OpenAlexaboutno aff
Suellen Murray

Bibliographic record

VenuePolicy Press eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistorySociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

With knowledge comes responsibility. (Helen Holland, adult care-leaver and advocate, 20131) Helen Holland, quoted here, is a founding member of the Scottish advocacy and support organisation In Care Abuse Survivors (INCAS). INCAS has lobbied for a full public inquiry into care and has had input into Scotland’s National Confidential Forum, discussed later. Such inquiries produce knowledge, and Holland draws our attention to their implicit purpose: that this knowledge must then be used to inform responses. Advocacy groups such as INCAS play an important role in campaigning for public inquiries, which, in turn, have typically been the impetus to bring about system reform of varying degrees. Inquiries of one sort or another have been held in all five countries under discussion in this book, and include those with national reach, which are largely the focus of this chapter.2 Other more local or organisational enquiries have also been held. While public inquiries are the focus of this chapter, it is important to note that there are other forums in which knowledge about care and its outcomes have been identified. The Law Commission of Canada’s report of 2000, Restoring Dignity: Responding to Child Abuse in Canadian Institutions, in discussing redress, very helpfully details the range of ways in which such information may be gathered. Criminal justice prosecutions, civil law actions, criminal injuries compensation programmes, ombudsman’s inquiries and other community initiatives are all ways in which this may occur. In this chapter, we first consider, generally, the purpose and nature of public inquiries. We then turn to a specific discussion of care-related public inquiries.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.522
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.332
GPT teacher head0.400
Teacher spread0.068 · 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 designTheoretical or conceptual
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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