Bibliographic record
Abstract
we came in swarms like summer bees smelling of something strange wearing the last moist kiss of our own sky.we came with heavy trunks empty pockets and a dream.(Patriarca, "Returning" 21) On Dec. 24, 1951, my mother, younger brother and I disembarked from the ship Argentina, after 14 days tucked away below the sea line on the bottom floor of a ship that swelled and ached ee our bellies emptied into the Atlantic until the ship finally vomited on the shores of Halifax (Patriarca, "Returning" 21) I was five years old and my brother Domenic, three.I now know 20,000Italians immigrated to Canada yearly from the end of the World War II until the early 1960s.Of our own landing, my mother would later tell me, she was frightened we could be denied entry.I spent the two week journey from Sicily in sick bay.To this day, the smell of bleach can take me back to the scent of those hospital bed sheets.I also recall a doctor in a white laboratory coat, with kind brown eyes hovering over me."Somehow, in Halifax, you rallied and the inspectors let us board our train," my mother said."No-one ever knew what was wrong with you.You wouldn't talk."Leaving Sicily meant leaving Nonna Venera.I have only faint memories of Nonna.But sometimes I can recall her loving presence.She died before my first trip back to my birth village of Bafia when I was twenty-one years old.I've been told that in the days leading up to our depar-
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".