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
As the results of PISA2006 (OECD, 2007) and other international assessments have been realized, there are concerns in Japan that although students show the high score of scientific literacy their interests in science were low. In this study, we explore the structure of attitudes towards science and scientific literacy based on the comparison of following five countries: Australia, Canada, Finland, Japan and New Zealand. The model of this analysis includes the six constructs (f 1:ENJ, f 2:GEV, f 3:PEV, f 4:FUM, f 5:GEI, f 6:INM) of attitudes towards science and scientific literacy score (f 7:SCL) with multiple group method. As the results of this analysis, the direct effects of each construct and total effects on f 7:SCL show the similarity between Australia, Canada and New Zealand. On the other hand, the total effect of f 5:GEI on f 7:SCL in Japan is bigger than other countries' one.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it