Bibliographic record
Abstract
This article analyses data from the 2000 Study of Canadian Political Party Members to address the question of why individuals join political parties in Canada and to trace their paths to activism. Because Canadian parties are essentially brokerage parties charactensed by ideological flexibility and limited substantive roles for their members, membership in a party islikely to be motivated less by ideological concerns than by membership in a social network mobilised in support of a particular individual. As a consequence, most accounts assume that individuals are mobilised into party membership by family, friends, and neighbors in order to support candidates for the leadership or local nomination. In contrast to this expectation, we find that for all five major Canadian political parties, it is the members' ideological or policy-related commitment to the party that is by far the most important motivation for joining. Although parties do, to varying degrees, rely on social networks for recruitment into party life, ideological concurrence between member and party acts as a constraint on recruitment. The data also indicate considerable differences between the two traditional brokerage parties and the newer, more ideologically oriented parties.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".