Bibliographic record
Abstract
Formal teaching of adults has evolved in a context defined, initially, by the constraints of physical boundaries. Classroom walls directly entail timetables, norms and rules of behaviour, social segregation into organized groups and, notably, the course as a fundamental unit of instruction. Our adult education systems are well adapted to provide efficient and cost-effective teaching within those boundaries. Digitally embodied boundaries are far more fluid, open, permeable, scalable, metaphorical and fuzzy. This has helped to drive the increasing dominance of e-learning in intentional informal learning and yet methods that emerge from physical boundaries dominate institutional e-learning, though they are a poor fit with the media. This paper is an exploration of the implications of the removal of physical boundaries to online pedagogies, many of which challenge our most cherished educational foundations and assumptions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.010 | 0.024 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.043 | 0.018 |
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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".