Bibliographic record
Abstract
This is the time of year when I am always very conscious of the cycles in our lives.There is the cycle of the seasons with the advent of spring and the arrival of my mold allergy.There is the cycle of the church year as we begin the celebration of Easter.The cycle of life and death and rebirth.The cycle of aging (that one really hit me this year as you will notice as I constantly try to find out where I can focus through my bifocals!).And tonight I am very aware of the cycle of the school year.At the end of the school year we say a lot of goodbyes.Some of the goodbyes are temporary -to classmates and faculty and staff and colleagues as you disperse for the summer.Some of these goodbyes are more permanent -the goodbyes said to and received from graduates, with a variety of emotions: some sadness, and a lot of relief!When I was a High School teacher, one of the marks of the end of the school year was the ceremony of the cleaning out of the lockers.Every home room teacher had to supervise her or his home room students as they emptied out a year's worth of accumulations.For some students this was not a big deal; their lockers were always organized and tidy.But for other students this was a major undertaking as a year's worth of textbooks, library books, handouts, permission slips, gym clothes, sports equipment, backpacks, "boomboxes," CDs, and best of all, forgotten lunches, were hauled out, looked over and either returned, taken home, or pitched.If you were lucky, the old lunches were still wrapped well so that they didn't smell or hadn't leaked.But with that kind of student you were rarely so lucky.More likely, it seemed as if aliens had inhabited the locker in question leaving behind strange looking and repulsive oozes and messes.Leftover lumps of unknown origin with so much growth on them they looked like they could have walked away on their own!113
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.025 |
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".