Les facteurs personnels et environnementaux associés à l’appauvrissement des personnes ayant des incapacités : utilisation d’un indice composite : « revenu x participation sociale »
Bibliographic record
Abstract
Although information on the condition of people with disabilities in Canada is widely available, the phenomenon of pauperization in its broad sense (i. e., in social and economic terms) and the factors that affect it are less well known. A study based on the model of Disabilities Creation Process (DCP) and Castel’s model of social disaffiliation helped to conceptualize poverty using two vectors — social participation and income. The goal of this initiative was to operationalize poverty among this population based on these two dimensions and to highlight the associated factors through an in-depth analysis of data from the Enquête québécoise sur la santé et les limitations d’activités (EQLA, Québec health and activity limitations survey). A composite index incorporating these two vectors was created from two EQLA indicaors: index of disadvantage and income sufficiency. The distribution of EQLA participants based on this new index was grouped into five different zones according to the observed level of socio-economic integration or disaffiliation. The establishment of standard profiles helped to identify the factors associated with greater socio-economic integration and with disaffiliation. The use of the composite index proved to be pertinent, useful and coherent for examining the concept of poverty based on these two initial vectors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".