Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Methods: A verbal survey was conducted using 22 human subjects to assess the relationship between hair colour and gender.<br><br>Study Site: The study was conducted in lab room 118 in Lubers building on the York University Keele Campus in Toronto, Ontario on September 15th, 2016. No equipment was used, data was collected by verbal survey of the subjects.<br><br>Hypothesis: There is no correlation between hair colour and gender because the genes that code for these two traits are not linked.<br><br>Predictions: <br>1) There will be no relationship between hair colour and gender as they are not genetically linked traits.<br><br>2) Males will not predominantly have one particular hair colour due to their gender, as the gene coding for hair colour does not reside on the X or Y chromosomes.<br><br>3) Females will not predominantly have one particular hair colour due to their gender (as a result of their lack of a Y chromosome), as the gene coding for hair colour does not reside on the X or Y chromosome.<br><br><br> <br>
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.
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) | 0.026 | 0.006 |
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 it