Bibliographic record
Abstract
logical frame of his story almost to the present day with revelations that might eas- ily belong more to spy drama than recorded events.The volume is not perfect.Forexample,Bartali's essay about legitimated cover-ups tor terrorist incursions makes no mention of one of the most egregious examples of insider complicity with the Italian terrorists, that of Marco Donat Cattin, member of the group Prima Linea and son of Italian politician Carlo Donat Cattin, who was permitted to escape to France on the very day he was to be arrested and imprisoned.The academic world, where the student agitation initiated much breaking of silences, could have been dealt with in greater detail.And the Church, undergoing at that time some of its own inordinately revolutionary internal changes in the continuing aftermath of Vatican II, is, in this volume, generally relegated to the role of "bad guy", eager to maintain its traditional religious oppression.Similarly the influence of European and American pop culture, represented by the ubiquitous crooning of Julio Iglesias in that long ago summer in Florence, deserves some consideration as well, for it indubitably supported the transgressiveness of speaking out.On the whole, however, this is an outstanding volume and highly recommended.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.009 |
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".