Le financement des prestations pour les personnes en situation de handicap en Argentine : quelles possibilités de continuité ?
Bibliographic record
Abstract
Cet article vise à montrer que, en Argentine, l’importance des réglementations actuelles et leur mise en oeuvre, ainsi que la jouissance effective des droits qu’elles prévoient, devraient permettre une prise en charge et un traitement optimal des personnes handicapées. Malheureusement, les mécanismes de financement qui devraient soutenir le diagnostic et le traitement des personnes en situation de handicap font face à de graves problèmes financiers dus à la situation économique qui touche le système public, la sécurité sociale et les organismes d’assurance médicale prépayée. Ces problèmes viennent contrecarrer les objectifs visant le bien-être des personnes handicapées, ce qui rend impératif de concevoir et de mettre en oeuvre des politiques publiques pour remédier à cette situation.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".