Bibliographic record
Abstract
This was the last week she wanted newspapers delivered to her house.Only two more quarts of milk would be delivered by the milkman.Now her de cision was becoming less vague and more realistic.She would finally do it.It's not that no one had told Jenny she couldn't: sometimes her conscience and mind weren't willing to give into such an idea.But, she explained to them, everything would be a lot better for her.Now was her chance to do what she wanted to do.Sure, people all her life gave her do's and don't's, but right now only her way was important."Fantastic." was the reaction she got when she told relatives, especially friends, that she planned on a trip to the West forever."Crazy," was the reaction she. got when she told friends, especially rela tives, that she had just bought a motorcycle and that it was her transportation.She had given her notice at work over two weeks ago.She was a dental assistant and had been working four years saving money, always with a plan stashed in back of her mind, always keeping it close to herself, a secret she would let go of soon.Her plans weren't always of going on a motorcycle; sometimes she thought of taking her car, asking a friend, or just going for a vacation, Now she knew her plan perfectly, an over-extended trip, going through Canada and all the West before settling down.Camping and meeting people.Money was no problem.She had extra just in case something happened to the bike or she found
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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; both teacher heads agree on what is shown here.
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".