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Record W2056512280 · doi:10.3406/oss.2005.1059

Un système de compensation plus équitable pour les personnes handicapées

2005· article· en· W2056512280 on OpenAlexaboutno aff
François Blais, Daniel K. Gardner, André Lareau

Bibliographic record

VenueSanté Société et Solidarité · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCashCompensation (psychology)Social assistanceSolidarityBusinessActuarial scienceState (computer science)Political sciencePsychologyEconomicsLawFinanceComputer scienceSocial psychologyEconomic growth

Abstract

fetched live from OpenAlex

Québec provides more than 300 assistance programs or measures to disabled persons, whether in the form of cash allowances or services. These programs, which were established over nearly half a century, provide unequal protection and access to assistance measures. Based on an exhaustive evaluation of existing programs, their origin and their actual effectiveness, the authors suggest that a more equitable compensation system be established for disabled persons. This new system requires that current assistance programs be simplified and merged, in particular as regards cash allowances. By carefully distinguishing between the principle of third party liability insurance and that of social solidarity, the authors put forward proposals which reduce the current irritants while respecting the state’s capacity to pay.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
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 studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.349
Teacher spread0.318 · 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 designQualitative
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
Published2005
Admission routes1
Has abstractyes

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