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
This paper offers insight from an informal cross-cultural mentoring experience of course development in higher education framed by the UNESCO Chair on Open Technologies for Open Educational Resources and Open Learning project. The Open Education for a Better World is a tuition-free international online mentoring program established to unlock the potential of open education in achieving the United Nation Sustainable Development Goals. Drawing from mentor/protégé conversations and reflections, and examining the experiences of mentoring in the development of an online course for Indian teacher education faculty development, the authors illuminate a pathway toward building professional relationships and professional learning beyond borders and boundaries. This paper describes how mentorship can develop digital competencies foundational for transferring tacit knowledge about planning, designing, recording, implementing, and evaluating teaching and learning in education. Explicit knowledge-building for professional learning within a supportive mentoring relationship is explored.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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