Bibliographic record
Abstract
When I was young, I dreamed of travelling.I had other dreams as well, but the idea of travelling was powerful-Jupiter in tenth house, my astrologer friends say leads to a life of travels.Because of this dream, and perhaps because of Jupiter, I am now someone who lives between two countries, Canada and Italy, and two continents, America and Europe.I lived and worked in three different countries: in Italy, where I was born and did my undergraduate studies, in the United States, where I studied and grew intellectually.Now I am in Canada, where I write and teach.Did I dream of becoming an intellectual, of working with my mind, of carrying my computer with me all the time?There were no computers when I was growing up, but I did aspire to a life of writing.Edward Said wrote: "An intellectual is like a shipwrecked person [...]Not like Robinson Crusoe whose goal is to colonize his little island, but more like Marco Polo, whose sense of the marvelous never fails him, and who is always a traveler, a provisional guest, not a freeloader, conqueror or raider" (44).Having lived and studied in Venice for part of my life, I feel very close to the Marco Polo metaphor; in fact, I feel the
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.047 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".