Bibliographic record
Abstract
[4] him against his will we would not have a moments peace. If he would board in some kind family it would not be quite so bad, but this he will not consent to as he says he will not be bothered with other peoples family regulations, he must have his own way about every thing or he is unhappy. Walter says we almost ought to go and live in Hamilton for the sake of taking care of him but that is impossible at present and I never knew anything so dreadfully perplexing. [1] [in margin: we will hope to hear from you very soon, I suppose you rec'd our other letters. Affectionately Joanna] Jefferson Ark. Apr. 22. ‘82 Dear John:- Walter and I are in real perplexity and I feel like writing to you about it thinking you may be able to offer some suggestion. Father, although entirely satisfied with this climate and surroundings, has become restless once more and expresses his wish to return to Canada. Now what can
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.796 | 0.683 |
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".