Bibliographic record
Abstract
I recently had the occasion to go shopping with my twelve year old son Jeremy who is now finishing grade seven in a Canadian public school. He had somehow (mysteriously) saved twenty dollars and was determined to buy a T-shirt. Coming from the boomer generation, T-shirts for me where either those funny Stanfield undergarments that my dad wore under his dress shirt (to absorb the sweat during hard work, I suppose?) or what gang members with duck-tails in the '50s wore under their leather jackets to look cool-like the 'Fonz' of Happy Days. During my college art school days, the days when you had to 'smoke' to find yourself in your art, the T-shirt changed into psychedelic colours as we flower children began to tie-dye them. They became a sign of protest against the plastic world, hand made and, of course, "authentic." From that point on, T-shirt culture seemed to have vanished from my consciousness. I was dimly aware that they were worn with all kinds of humorous sayings, or by runners who unwillingly wore all kinds of sponsor logos on the sleeves and backs of their ' free' T-shirts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.001 |
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 teacher head, 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".