The Ostrogoths from the Migration Period to the Sixth Century: An Ethnographic Perspective
Bibliographic record
Abstract
This is the seventh volume of a projected twelve in a series issued by the Centre for the Interdisciplinary Study of Social Stress of the anthropologist Giorgio Ausenda in San Marino. Reviewers of these volumes have tended to agree on the contributors’ avoidance of the advertised ‘ethnographic perspective’, and on the length and mediocrity of the ancillary matter. The miscellaneity of the contents has also been noticed. The present volume is no exception to these traits. The articles are accompanied by an Introduction with plodding summaries of each paper, by protracted paper-by-paper discussions, and by somewhat abrupt suggestions for future work—in all, nearly half the volume (231 of 497 pages). In these adjuncts, gems rarely glint in the dross. The organiser and editors have firmly resisted the appeals of reviewers that these supplements be pared down. The omissions from the volume are as conspicuous as the additions. The seminar in San Marino at which the papers were first presented is never mentioned or dated. We are given the names and addresses of the participants with no information as to who they are. Some contributions must have been translated, but which they are, or by whom they have been translated, is not revealed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".