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
The Netherlands is a prosperous country. An extensive healthcare system aims to guarantee the conditions for a healthy, dignified existence. Despite extensive knowledge, it is not possible to create reasonable life prospects for everyone. <br/>This dissertation examines how we can improve the conditions for development and growth in society. The research focuses on homeless people in social shelters. It looks at the interaction between shelter users and their environment from different perspectives.<br/>Shelter users experience many problems in different areas of life. Despite good intentions, local service networks are unable to meet the essential needs of shelter users. This leads to all kinds of conflicts with their environment. The research shows the systematic nature of the system's failure. At the same time, it shows how joint learning processes in meaningful relationships can contribute to strengthening the possibilities and resilience in networks.<br/>This dissertation sheds new light on our social challenges. The approach developed offers concrete tools to give substance and direction to joint learning processes that strengthen the resilience of people and the networks around them. The data was collected among shelter users, but the pattern-oriented approach reveals universal processes in social interactions.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it