ELSiTO. A Collaborative European Initiative to Foster Social Inclusion with Persons Experiencing Mental Illness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ELSiTO (Empowering Learning for Social Inclusion Through Occupation), an international collaborative partnership, with over 30 members from Belgium, Greece and the Netherlands, aimed to explore the nature and processes of social inclusion for persons experiencing mental illness. Members included persons experiencing mental illness and health professionals. Four international visits and local activities enabled a knowledge creation process that combined the experience of social inclusion as we lived and worked together with exploration of the processes of community projects, narratives of experiences and reflective workshops. Outcomes included identification and description of the following: the nature of social inclusion as lived by the participants; the critical elements that support inclusion; and the competences that are developed by all stakeholders during this process. The complex process of social inclusion is facilitated by doing together in environments that enable equality, trust, risk taking and realignment of power. These conceptual understandings of inclusion are discussed in relation to the ongoing activities of the partners, to their potential contribution to the education of occupational therapists (and other professionals) and to the development of socially inclusive occupation-based projects in the community.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 it