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
Welcome to Volume 28, Number 1 of the Journal of the International Society for Teacher Education (JISTE). This issue features articles that were presented at the 2023 Annual ISfTE Seminar in Bhutan, hosted by Kezang Sherab and Ugyen Choden at the Royal University of Bhutan under the theme "Education in the Post Covid-19 Pandemic." We are delighted to include these and other contributions from our International Society for Teacher Education (ISfTE) members in this edition. Together, the articles in this issue cover various aspects of education and teaching, including innovative lesson planning methods, frameworks for reviewing primary education, holistic skill development programs, revised assessment models for pre-service teachers, and the importance of teacher dispositions in inclusive education. These studies emphasize enhancing educational practices, fostering growth in both teachers and students, and applying context-specific solutions to improve learning outcomes.
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 | 0.001 |
| 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) | 0.000 | 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