A Content Analysis of Child Care Advocacy Messages Communicated by the Child Care Advocacy Association of Canada from 2005-2010
Bibliographic record
Abstract
<p>This research project used a content analysis to examine advocacy messages in documents released by a social movement organization, the Child Care Advocacy Association of Canada, from2005-2010. Of particular interest were advocacy messages that focused on national childcare system issues (accessibility, affordability, quality, universality, publicly funded, delivery, governance, ECEC staffing issues and market approach)and policy frames (child development, equity for disadvantaged groups, poverty reduction, labour force participation, business case-human capital and rights of children, women and families) used to justify the need for system changes. Findings indicate that CCAAC's advocacy messages remained consistent from 2005-2010 with slight increases in 2005, 2008, and 2009 when the political climate at the federal level offered opportunities for CCAAC to play up certain messages to their audiences.</p>
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".