Bibliographic record
Abstract
Nearly nine months pregnant, I strode a daily three--miles along Terwilliger, a serpentine, cedar--studded thoroughfare bifurcating southwest Portland from evergreen hills and grand mansions.A rush of foreboding blazed through me.Like the December wind and grey firmament, menacing thoughts rushed past.What if there's something really wrong with this one?What if something didn't show up on the ultrasound, on the amnio?What if he has a… a… syndrome, something that follows him through life, that could ruin him, ruin us?What if he has something that could ruin me?My heart clenched.During birth, Edin burned through me like the others had.Even fasterscarcely an hour-I writhed my body with his movement, delivering him into my arms.But that night, the chill returned.He screamed a terror and fury unlike any I'd heard."What if something's wrong?"I admitted aloud to my husband, Ailon, craving reassurance.Edin spit up a vast plug of mucus-a common newborn irritant-and settled down.I closeted away my thoughts, ashamed.It was deep winter now, and Edin was slower than the others to smile.By eight weeks, Ailon and I secretly dubbed him, "Our little simpleton."I shudder at this admission.But then, I assured myself I'd worried mightily about his three siblings, and they'd all been fine.I would not waste worry on this one.By 18--months, Edin rarely waved "Bye--bye," and began to lose the few words he'd had.Ailon, raised on a kibbutz, had learned to accept a vast range of normal.He dismissed my ominous presentiments."Boys speak later," he said."Edin's exposed to both Hebrew and English; bilingual kids take time.""He's going at his own pace."By two, I took Edin in, and there began the months'--long process of speech and occupational therapists, physicians and nurse practitioners, telling me and yet not quite telling me.Edin was autistic.I believed them, and I didn't believe.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".