Food Democracy and The Construction of Risk in The Canadian and U.K. Media
Bibliographic record
Abstract
Using a critical discourse analysis (CDA), this thesis examines how risks and food security, in relation to Genetically Modified (GM) foods, are constructed within the media context. The project analyzes \nnews articles that appeared in two Canadian newspapers, The Globe and Mail and The Toronto Star, and two British newspapers, The London Times and the Guardian, during three particular time periods between 1997 and 2005. I evaluate whether or not the selected articles contribute to the public’s \nunderstanding of science, and how journalism constructs risk and uncertainty. I also evaluate the use of expert knowledge by journalists. Using the theory of Risk Society, as proposed by sociologist Ulrich Beck, the project explores the connections between political, social, and economic issues connected to globalization. This thesis concludes that journalism in both Canada and Britain does not appear to adequately inform their citizens on matters of food security and the risks of GMOs.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.029 | 0.024 |
| Scholarly communication | 0.023 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".