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Record W4296052801 · doi:10.51952/9781447313656.bm003

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2015· paratext· en· W4296052801 on OpenAlexaboutno aff
Suellen Murray

Bibliographic record

VenuePolicy Press eBooks · 2015
Typeparatext
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)MathematicsComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

A Aboriginal and Torres Strait Islander children (Australia) apology to 75-6 care policy 23-5 HREOC inquiry on 41, 42, 46-8, 61-2, 74-5, 150, 157 records relating to 147, 157 support and family reunification 120, 129-30, 150, 157 see also Healing Foundation, Stolen Generations Aboriginal children (Canada) care policy 25-6 see also Aboriginal Healing Foundation; residential schools; Royal Commission on Aboriginal Peoples Aboriginal Healing Foundation (AHF) (Canada) 85, 120, 123-4, 164 abuse see child abuse access to records see records accessibility, of support services 126-7 accountability and perspective of apologies 76-7 role of acknowledgement 66 role of public inquiries 40 see also responsibility acknowledgement 65-70, 86, 188-9 apologies see apologies commemorative days/years 74, 79, 82-3Index NOTE: page numbers in italic type refer to tables, page numbers followed by 'n' refer to a note and its number.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.150
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0070.005
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8500.756

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 head0.244
GPT teacher head0.473
Teacher spread0.229 · 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.

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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