Bibliographic record
Abstract
<p class="p1">Several years of Research Reflections have provided instruction and supportive guidance to assist both novice and advanced scholars in conducting and appraising nursing research. From developing a strong research question to critically evaluating the quality of a published study, the ultimate purpose of nursing research is to disseminate findings in order to have an impact on clinical practice. This objective is contained within the notion of knowledge translation (KT). The Canadian Institutes for Health Research (CIHR, 2016) defines KT as “a dynamic and iterative process” consisting of several steps that foster the creation, and subsequent dissemination, of knowledge for the purpose of improving the health of Canadians by strengthening healthcare services. A short list of additional terms imbued with similar purpose and meaning to KT include knowledge exchange, implementation, research utilization, diffusion, and knowledge transfer. Graham and colleagues (2006) suggested that confusion arising from multiple methodologies and theories for disseminating research findings be clarified to ensure that they are not “lost in knowledge translation” (p.13). Indeed, for both novice and experienced researchers an awkward and frustrating disconnect can exist between generated research knowledge and crucial stakeholders it was meant to inform. Unless research results are communicated with others in a way that is effective and meaningful, potentially important and practice-changing knowledge could slip into the obscurity of a file cabinet or rarely-cited manuscript.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Scholarly communication Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | MetaresearchScholarly communication Domain: Reporting · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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 | 0.071 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.014 | 0.008 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".