Reconnecting Government with Youth 2006
Bibliographic record
Abstract
Reconnecting Government With Youth examines the connection between young people in Canada and the federal government. The study examines youth expectations of government and what roles they feel it could or should play. Issues affecting youth and Canada, government priorities, discrimination, as well as multiculturalism, immigration and diversity are key themes in this study. The 2006 study also considers aboriginal issues, the trustworthiness of certain professions, politics in Canada, and post-secondary careers and education. 2,012 Canadians from across the country, aged 12-30, participated in the 2006 survey and are represented in the dataset. Those under the age of 18 were sourced through their parents, who are panelists in the Ipsos Consumer Panel. The sample has been weighted and is representative of Canada’s age and gender composition in accordance with census data. Results from focus groups from a total of 4 sessions in Toronto and Montreal are also represented in an accompanying focus group document. Several questions in this study have been tracked from previous Reconnecting Government with Youth Studies and are referenced as such in the accompanying reports. Some questions within the 2006 study were asked only to respondents in the 16-30 age range due to the difficult nature of the subject. Accompanying this dataset are questionnaire documentation including draft questions, focus group documentation, aggregate statistics from from the data, as well as final reports and presentations.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.008 |
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".