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
One pathway to creating more equitable schooling is through schools becoming trauma sensitive. Students exposed to trauma are more likely to struggle in school compared to their non-trauma-exposed peers. Changing the school environment allows trauma-exposed students more opportunities to access academics. This qualitative study explores the practices and strategies employed by one elementary school (K–5) to become trauma sensitive. Based on the data, five subthemes emerged that coalesce around the overarching theme of creating a caring community to achieve a trauma-sensitive school. For the purposes of this study, a caring community is defined as a group of people sharing a common workplace who have a true interest in the well-being of others in the community. The five subthemes include (1) the faculty’s commitment to creating a safe school, (2) intentional school design to foster support (covered in Ballin, 2022), (3) a commitment to engaging families, (4) a desire to make school fun, and (5) the principal’s support of the school community. By embracing practices aligned with trauma-sensitive schooling, this small school changed the learning environment to give more children chances for success despite current and past traumatic experiences.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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