Tissue Viability Leading Change competency framework: preliminary analysis of use
Bibliographic record
Abstract
This paper presents preliminary analysis of clinicians use of the Tissue Viability Leading Change (TVLC) competency framework launched in November 2015. It is the first UK wide competency framework developed for staff working in a tissue viability service. Total downloads for the framework has been 331 to date. Overall initial feedback has been positive. The majority of respondents have accessed the framework for personal professional development. Respondents were asked to rate each of the TVLC competencies by frequency and ease of use. The first 5 competencies were utilised significantly more than competencies 6–10; the majority of respondents rated most competencies easy to use. Nine respondents (81.8%) reported that they were using, or intended to use, the TVLC as part of their appraisal process. Eleven respondents (84.6%) reported that they had used, or intended to use, the TVLC in validation processes as required by the Nursing and Midwifery Council (NMC).
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.389 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".