Factors Influencing the Decision of the Young Politically Engaged To Join a Political Party
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
Situated in the literature concerning the decline of party members, and the dearth of young party members, this article considers the factors that influence the decision of a politically engaged young person to join, or not join, a political party. Making use of a unique dataset, we examine the attitudes and socialization of a large group of politically active young Canadians, a group that includes a significant number of both party members and non-party members. The article finds significant attitudinal differences towards political parties, with non-members highly suspicious of parties in terms of their general democratic performance, their efficacy in achieving social and political change and in the ability of grassroots members to influence party decision-making. We also find important socialization effects, the most significant being that young party members are considerably more likely than non-members to have a parent who is a party member. Recruitment through family members appears to be a principal path to party membership for young voters.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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