Bibliographic record
Abstract
Halfway Up a Tree David Wagoner I’m reconsidering my position here halfway toward the kite my daughter wants rescued and brought back. I’m holding on to the main stem of this maple with one hand and, with the other, to the frazzled end of a string that needs no magic of Ariadne to show me the way. There it is, as clear as what’s left of daylight. And back down on earth, someone I love is looking up and wanting me to keep going and, so far, believing in me. Inuit shamans knew the world was a kind of tree, that they’d been born there and could still fly back if they needed to be refreshed with the wind and lightning of the gods. I’m being winded and rained on unemphatically as it happens now, and the question of the day is what’s going to happen if I climb down without it. What in her world will she make of me after that but a lame sequence of images of a half-a-loaf benefactor descending empty-handed out of the sky? [End Page 24] Copyright © 2010 Johns Hopkins University Press
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".