A matter of choice : a critical discourse analysis of ECEC policy in Canada's 2006 federal election
Bibliographic record
Abstract
This paper used a Critical Discourse Analysis (CDA) to analyze the representation of Early Childhood Education and Care (ECEC) in the 2006 federal election in Canada. Using Fairclough's approach to CDA, the study analyzed written documents including newspaper articles from The Globe and Mail and The National Post, the policy platforms of the Liberal and conservative parties, and political speeches from party leaders. The "choice" discourse was found to be dominant in the majority of texts examined. A dominant discourse is one that is created and sustained by those with power thus contributing to hegemony in society. Three textual and discourse processes were found to legitimize the "choice" discourse and contribute to its dominance: rationalization, nominalization and conversationalization. It is suggested that the language used in public documents throughout this election and the subsequent dominance of the "choice" discourse may have had a significant impact on citizens' understanding and appreciation of the complexities of the ECEC issue.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".