Bibliographic record
Abstract
When I was four years old, the geography of loneliness was a vineyard boxed in by our back stoop, a church rectory, a fence, and the house of my father's father, Nonno Johnny.Two acres of land with everything we needed.Even God lived right next door.From the rectory window, the priests watched me play among grapevine men crucified on twine and posts.The Fathers believed in invisible truths-the communion of saints, resurrection of the body et cetera-but they could not see the boy and girl in buckskins running beside me.My boots sank deep into the mud between the grape rows where I stuck fast like a coyote trapped in Qwik-Dri cement.In the distance, a shadow against the sun shouted: Ragazza!Vieni qua! Subito!Slipping out of the boots with a satisfying pop, I ran stocking-footed through yellow manure.Nonno Johnny chased off our land anyone who was not one of us, his old world suspicions shadowing him in safe, clean Canada.Having scared away my potential playmates, he tried to make it up to me with folktales crafted to keep men from going mad when trapped by snow in
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".