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
OBJECTIVE: The objective of this analysis was to identify the meaning of rurality for registered nurses (RNs) practising in rural and remote Canada. SETTING AND DESIGN: An existing Statistics Canada definition was used to stratify Canada's 10 provinces into urban and rural areas. As part of a national multi-method study, a random sample of RNs in these rural strata, plus all RNs working in outpost settings and northern territories, were surveyed concerning the nature of nursing practice. Content analysis was used to identify themes from an open-ended question: 'How do you define rural/remote?' Refinement of the themes was conducted by the survey team and credibility was supported through investigator triangulation. PARTICIPANTS: Of the 3933 RNs who responded to the survey (68% response rate), 3412 provided a definition of rural/remote. A subsample of 1285 RNs was used for detailed thematic analysis because these respondents provided definitions with a clear referent to rural and/or to remote; the remaining sample was used for verification of themes. RESULTS: Four defining themes were identified by RNs for both rural and remote: community characteristics, geographical location, health human and technical resources, and nursing practice characteristics. CONCLUSIONS: The themes can be used as content domains or dimensions of rurality to improve our understanding of how to describe rural communities, including geographical location and nursing practice, from the perspective of RNs.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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