Evy Hambro: Co-director del equipo de recursos naturales de Blackrock
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
Atlantic Canada hosts six federal and 18 provincial correctional facilities distributed across the four provinces. All employ nurses and offer significant career opportunities, yet minimal content related to forensic nursing is provided in nursing curricula. Furthermore, there is a paucity of continuing educational offerings for Canadian forensic nurses. This article describes the series of events that brought the practice of forensic nursing to the forefront of provincial news media. Actions taken by nurses in academia and practice addressed the lack of educational opportunities for forensic nurses in Atlantic Canada. One of these actions, a Knowledge Forum, was held to nurture partnerships between nurse leaders responsible for healthcare in correctional services in New Brunswick and nurse educators. The idea was to connect nurse leaders responsible for healthcare in federal and provincial jurisdictions, community liaison nurses and nurse managers working in hospital-based forensic mental health assessment units, and nurse educators, to explore nursing practice within secure environments and the current educational needs of forensic nurses.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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