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
The recent decline in voter turnout, a trend largely attributed to lack of youth participation, has focused the attention of many scholars on the study of young people and politics. While great strides have been made in understanding youth disengagement, one dimension of the field that remains understudied is the development of political interest. This research begins to address this gap by evaluating one specific influence, the social network. Using a panel of 499 Quebec teenagers surveyed annually for three years, this study considers how political interest is affected by political discussion among a teenager's parents, friends and teachers. As one might expect, analysis of the data confirmed that parents who often discuss politics have children who are more interested in politics and who are more likely to develop political interest. The effect of other agents of socialization, however, should not be underestimated. Friends were often found to be on par with parents concerning their influence on change in political interest, and results concerning teachers suggest that some classes, history in this case, can play an important civic role.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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