Becoming the employer of one’s carers to be more autonomous: The choice of 70,000 people with disabilities
Bibliographic record
Abstract
How disability is compensated for is mainly a function of the human care that people with disabilities receive. When they decide to pay their carers directly, they become individual employers. 70,000 disabled people have made this choice in France. Among them, the majority pay for a relatively low degree of help by direct employment. But only 2%, little more than 200 people, that is about a quarter of those with serious and multiple disabilities, use 12 daily hours or more. For these people, the organization of their human help as direct employment is a deliberate choice. The more the person concerned needs help, the more is at stake when becoming a direct employer. To choose and manage the people who care for them enables them to increase their autonomy, by deciding for themselves, with the idea that participation in the organization of one’s own existence is the first step towards a wider form of social participation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".