A frame-critical policy analysis of Canada’s response to the World Food Summit 1998–2008
Bibliographic record
Abstract
BACKGROUND: The 2012 visit to Canada of Olivier De Schutter, the United Nations Special Rapporteur on the Right to Food, led to a public rebuff by Canadian governmental officials. This paper adapts the frame-critical policy analysis of Schön and Rein (1994), to explore the rhetorical basis for this conflict. This examination is offered as an illustrative example of how food insecurity is framed as a public policy problem in a high-income nation and how this framing has changed over time. METHODS: We analyze Canada's decade of sequential responses to the 1996 World Food Summit, spanning 1998-2008, in the form of Canada's Action Plan on Food Security, and its subsequent Progress Reports. We conducted a qualitative policy analysis, adapting the frame-critical approach first delineated by Schön and Rein (1994). This analysis uses a social constructionist approach to map out the relationships between tacit understanding of policy by particular actors, explicit rhetoric in the public domain, and action in this policy area over time. RESULTS: We identify three key ways in which competing rhetorical frames arise over time: frame shifts (e.g., a shift away from language highlighting the right to food and health); frame blending (e.g., discussion about poverty becomes obscured by complexity discourse); and within-frame incongruence (e.g., monitoring for health indicators that are unrelated to policy solutions). Together, these frames illustrate how the conflict embodied in the UN Special Rapporteur's visit has been deeply woven into the policy discourse on food insecurity in Canada over time. CONCLUSION: Frame-critical analysis is instructive for exposing and also predicting tensions that impede forward progress on difficult policy issues. Accordingly, such analyses may be helpful in not only dissecting how policy can become 'stuck' in the process of change but in active reframing towards new policy solutions.
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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 | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.028 | 0.015 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".