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
Knowledge translation (KT) provides a lens to examine the process of moving research-informed knowledge into early intervention practice (P. Sudsawad, 2007). The process of KT entails cognitive, affective, and behavioral stages that are mediated by factors intrinsic and extrinsic to the practitioner. Facilitators and barriers to this process may exist at the level of the practitioner, practice environment, or research evidence (P. J. Manns, A. V. Norton, & J. Darrah, 2015). The conceptual framework described in this article utilized the Diffusions of Innovations Theory and the Ottawa Model of Research Use concurrently to examine factors that influence the process of KT for the early intervention (EI) workforce (J. Logan & I. D. Graham, 1998 ; E. M. Rogers, 1983 , 2003b). The information gathered from the utilization of KT frameworks can generate recommendations for change and tailor KT initiatives to meet the professional development needs of EI providers (B. J. Cunningham, P. Rosenbaum, & M. Hidecker, 2016 ; A. Hudon, M. Gervais, & M. S. Hunt., 2015 ; D. Levac, S. M. N. Clegg, C. Camden, L. M. Rivard, & C. Missiuna, 2015).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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