Dantean Dialogues: Engaging with the Legacy of Amilcare Iannucci
Bibliographic record
Abstract
The seminar regularly featured seasoned scholars from the United States and abroad, from Maristella Lorch to Cesare Segre, but Della Terza also ensured that younger scholars-including his own protgs-enjoyed the opportunity to present. It was in that context that I first met and heard fellow Harvard alumnus Amilcare Iannucci speak. Born in 1946, the Canadian-Italian scholar was barely past thirty years of age when he returned to Cambridge, Massachusetts, and confidently held forth at the seminar in Boylston Hall. Following his remarks, our mutual professor Nicolae Iliescu intoned that I would do well to follow Iannucci's example. From that moment I paid close attention to Amilcare's career and publications, and doing so influenced the direction of my professional life and likewise enriched it.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".