Bibliographic record
Abstract
This article seeks to examine the roles played by authority within the classroom in the legal education context and its potential impact on the models of pedagogical practice. Among the pertinent factors fuelling the changing demographics of the law student body is the perceived attraction of practising law in the United Kingdom which increases the popularity of graduate conversion routes into the profession both by qualified legal practitioners from other jurisdictions and by mature students with experience in other areas. This raises a number of potential difficulties for junior law teachers in so far as this changing student body demographic is capable of challenging the teacher's real or perceived authority in the classroom which was hitherto considered a crucial tool to the educator. This article discusses the effects of the closing gap of knowledge and experience between the teacher and the student body and how the adoption of different models of pedagogy may alleviate certain difficulties that arise, perhaps to the extent of transforming this weakness into strength. In the end, however, whether to use different pedagogical models to compensate for a lack of relative authority in the classroom may hinge upon whether legal training should primarily be academically oriented or more akin to training for the practice of a trade, raising questions regarding the appropriate form and function of legal education.
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.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.048 | 0.011 |
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".