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
There is an increased interest in the use of virtual technology and distance courses in professional education. Teacher education is no exception, particularly with pressures to maintain professional standards. The problem of course is that the conception of what it is to be a professional teacher influences the development of such courses and programs. If teacher is characterized as discerner, with the ability to “transform understanding, performance skills, or desired attitudes or values into pedagogical representations and actions” (Shulman, 1987: 4) then teacher knowledge (of content, students, and pedagogy) is of paramount importance. If however, teacher is characterized as disseminator, charged simply with carrying out the dictates of others, then complex forms of knowledge are not essential. The former implies a need for professional development that informs, enriches and extends teacher knowledge. The latter suggests that training in new materials is sufficient. Current curricular conditions and a plethora of supplemental teacherproof materials would seem to support a non-professional characterization of teacher as disseminator. Such a reductionist view of the teacher has led to a model of ‘professional development’ commonly referred to as train-the trainer. The model provides systematic training in recently released documents, programs or materials to a target group of people. In pyramid formation, the newly ‘trained’ would then re-inscribe large groups in exactly the same fashion.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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