Bibliographic record
Abstract
Abstract Thomas Philippe, a French Dominican friar, and Jean Vanier, a Canadian philosopher and former naval officer, founded the first L'Arche community in France in 1964. L'Arche has now become an international federation of some 120 communities. In the 1960s and 1970s it was seen as a groundbreaking movement and as a leader in the development of non‐institutional and life‐affirming approaches to caring for those with learning disabilities. The term ‘mental handicap’ was more commonly used at the time that L'Arche was founded. The ethos of a caring community underpinned by spiritual and religious values has provided a much‐admired and emulated model. It has not been without its costs, however, and the communities, like others involved in caring, are having to address some fundamental issues concerning the impact on carers and the way in which the vision of the founders can be developed and sustained in the future. This personal account and reflection, by the sister of one of the founders, is built on her experience of L'Arche in the UK. It sets out some of the challenges facing the creation of a caring environment for both carers and cared for. Copyright © 2004 Whurr Publishers Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.023 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".