Reconnecting Government with Youth 2004
Bibliographic record
Abstract
Reconnecting Government With Youth examines the connection between young people in Canada and the federal government. The 2004 study examines examines issues affecting youth today; youth crime, society, and remediation; government priorities; youth expectations of government; the internet; the job market; and aboriginal issues. The 2004 study's dataset consists of an initial sample of 2003 Canadians from across the country, aged 12-30, as well as a booster sample of 500 participants based on thier minority language status within their region of Canada. 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. 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 2003 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 from stakeholder government departments, summary (topline) and comprehensive statistics from the data, as well as final reports and presentations.
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.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".