The Attitudinal and Behavioural Correlates of Engagement with Ethnocultural Media at the Local Level: A Case Study of Mississauga and Vancouver
Bibliographic record
Abstract
Employing Canadian Municipal Election Study (2018) survey data, this paper examines the majority-minority cities of Vancouver and Mississauga to assess whether there is a correlation between engagement with ethnocultural media and local political participation of immigrant and ethnic electors, who are known to participate at comparatively low rates. This paper asks, first, what are the sociodemographic correlates of those who engage with ethnocultural media? Second, what association is there between engagement with ethnocultural media and local political attitudes and behaviours of interest, efficacy, knowledge, and turnout. The results show that age, education, language, immigrant status, and race correlate with engagement. As well, when individuals consume high levels of ethnocultural media, they are more likely to be interested in and feel a greater sense of efficacy towards local politics. Furthermore, knowledge of local politics alone is shown not to correlate with engagement, and that such engagement has no relationship with turnout.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".