Bridging the Transition From Homelessness: A Social Justice Framework to Guide the Practice of OTs
Bibliographic record
Abstract
Date Presented 04/19/2023 A growing number of OTs are involved in research and practice with persons who experience homelessness. To support OT research and practice in this area, our team developed the Bridging the Transition Framework (BTTF). This workshop will provide an overview of the BTTF and its various components and engage attendees in activities that illustrate ways of using the BTTF in research and practice using videos conducted with persons with lived experience. Primary Author and Speaker: Carrie Anne Marshall Additional Authors and Speakers: Rebecca Gewurtz, Skye Pamela Barbic, Patti Y. Plett, Corinna Easton, Abrial Cooke
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.
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 | 0.057 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.030 | 0.040 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.006 | 0.029 |
| Research integrity | 0.009 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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".