Bibliographic record
Abstract
8 Also, the following assumptions apply: COV ( 1, 1 )=0; COV ( 1, 2 )=0; COV ( 1, 3 )=0; COV ( 2, 3 )=0. 9Data was collected in five countries (Ireland, Netherlands, Russia, Japan, and Switzerland) from respondents under the age of 18.To ensure consistency, I excluded cases where the respondent did not meet the minimum age of 18.I did not consider 35, 61, 72, 36, and 16 cases for these five countries, respectively. 10The categorization of 50,000 or more population as indicative of an urban area was available in 11 countries: Austria, Canada, Czech Republic, Germany (West and East), Denmark, Spain, Israel, Netherlands, Russia, and Slovenia.For other countries, I created categories to approximate these as closely as possible.In the United States and Japan, an urban area has 100,000 or greater population.In Norway, a value of 1 represents residence in an area of 30,000 or more population, while in Portugal it is 20,000 or greater.For Switzerland, Britain, Ireland and New Zealand, it is self-reported residence in either a big city or a suburb of a big city.11 The sixth possible item was "Humans evolved from earlier species of animals."I exclude this item from the scientific knowledge scale because it confounds the effects of religious beliefs and scientific knowledge.
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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 | 0.000 | 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 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".