Review of 'Tradition Today'. No 1, April 2011. Sheffield: The Centre for English Traditional Heritage. 71 pp.
Bibliographic record
Abstract
This new e-journal in English for folklorists comes from Sheffield, and is to be seen as a new venture for Emeritus Professor John D.A.W. Widdowson, long time head of the Centre for English Tradition and Language within the University of Sheffield. [Another article in this volume of 'Australian Folklore' discusses this Centre's uneven history and sad and severe curtailment in recent years.] In addition to the succinct editorial, there are a range of articles... Clearly we are dealing here with a fine new contribution to the discipline and the folklore field, with a nice mix of the ingredients that one would expect from the unduly modest leader of regional folkloric work in England in the last forty years and more. We applaud the initiative and the dignity of a new journal which bids fair to maintain the standards so long associated with its editor, his links with Newfoundland, and his many links with the English-speaking countries where his pupils and friends have done so much for the recording of the true folk voice of the regions of the British Isles, and of England especially.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.012 |
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".