Developing selection criteria for harmonious co-living: la Maison des Babayagas and beyond
Bibliographic record
Abstract
Abstract With an ever-increasing pace of change, dwindling resources, and an aging population, modern societies face harsh questions regarding effective governance systems. Moreover, with lingering problems brought on by COVID and ongoing inflationary pressures, the situation for growing numbers of aging women who have outlived their partners and are living on their own is increasingly grim. In Canada, when the elderly cannot manage independently, even the least expensive full-care retirement home options can have a formidable cost, which can be a heavy burden for many. Therefore, it is of utmost importance for society to support independent living as long as possible. Independent living models are being developed with various constraints and often with profit in mind. However, we were interested in the most economically feasible and socially acceptable solution. One such development is La Maison des Babayagas in Paris, France. This innovative government-subsidized housing project has been developed for retired independent women who pay rent for small apartments according to their means. The residents live in independent units and support one another in an economic and social arrangement that promotes friendships, fights loneliness, and helps each maintain a healthy outlook. This research aimed to gather data to create an inventory questionnaire to select independent retired women in Canada to live together harmoniously in a housing project based on the successful model developed in Paris. The questionnaire is based on analyzing the Babayagas House charter and resident journals and an extensive review of related inventories and questionnaires. The criteria retained will be explained, and examples of the questions will be presented.
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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 | 0.046 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".