Territoire politique et identités autochtones-spatialités en mutation : le cas de la communauté inuit des îles Belcher au Nunavut (Canada)
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 Office of Nursing Services of the Department of Veterans Affairs (VA) piloted implementation of the clinical nurse leader (CNL) into the care delivery model and established a strategic goal in 2011 to implement the CNL role across the VA health care system. The VA Office of Nursing Services CNL Implementation and Evaluation (CNL I&E) Service was created as one mechanism to facilitate that goal in response to a need identified by facility nurse executives for consultative support for CNL practice integration. This article discusses strategies employed by the CNL I&E consultative team to help facility-level nursing leadership integrate CNLs into practice. Measures of success include steady growth in CNL practice capacity as well as positive feedback from nurse executives about the value of consultative engagement. Future steps to better integrate CNL practice into the VA include consolidation of lessons learned, collaboration to strengthen the evidence base for CNL practice, and further exploration of the transformational potential of CNL practice across the care continuum.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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