Anna Maria Zampieri Pan. Missioni di ieri, frontiere di oggi. Vicenza: Editirice Veneta, 2007.
Bibliographic record
Abstract
Reviews 189the food was part of the ritual and nothing was neglected or deemed as less important than another.His humble origins may have had something to do with this attitude, but Cioni makes this reader believe that her father had an ancient spark that made eating his food more than a necessity for sustaining life: it was a celebration of life and being alive.In the Fabulous Fifties, Gene introduced the Calgarians to something new.And I do not think Maria Cioni means Italian food per se, but rather Gene's way of preparing and being creative with Italian food and food in general.I would say that this initiator was what people often refer to as an "original": the kind of person who creates a fashion rather than following one.And like most originals, Gene's passing left a void too large to fill for a new "Prince" to pick up where he left off.Some "Principalities" fall altogether when the founding "Prince" is so difficult to replace.Today Italian restaurants are no longer a rarity in Calgary, but I wonder if there are any Genesio Cionis around who cook with the same passion and the same concern for their customers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.055 | 0.021 |
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".