MétaCan
Menu
Back to cohort
Record W2528596893 · doi:10.60082/0829-3929.1012

Civil Justice Problems and the Disability and Health Status of Canadians

2007· article· en· W2528596893 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Law and Social Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticePolitical scienceCriminologySociologyLaw

Abstract

fetched live from OpenAlex

RiSUMtCette analyse, bas~e sur l'Enqute nationale de 2004 sur les probkmes de la justice civile au Canada, r~vle que la mauvaise sant6 et l'invalidit6 sont likes A une incidence plus 6lev~e de treize categories de problkmes de justice civile parmi quinze qui ont &6 identifies.Les personnes qui souffrent d'un problme de sant6 ou d'invalidit6 sont plus susceptibles que le reste de la population percevoir que les probl~mes sont r~gl~s de fa~on inequitable, de trouver que la situation s'est aggrav~e dans les cas odi les probl~mes n'ont pas t6 r~gl~s, et d' prouver des probl~mes persistants faisant r~f~rence A des probl~mes non r~solus qui durent depuis au moins trois ans.Les travaux laissent supposer que les personnes ayant des probl~mes de sant6 ou d'invalidit6 6prouvent un sentiment d'exclusion sociale un degr6 relativement 6lev6.

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.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.074
GPT teacher head0.439
Teacher spread0.365 · 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