(Mis)placing race: Deconstructing myth in televised advertisements for three child sponsorship organizations
Bibliographic record
Abstract
Direct Response Television (DRTV) programming for child sponsorship is an extremely effective form of fundraising in Canada. However, it also proves to be one way in which racialized knowledge is being reproduced. This project deconstructs the DRTV for three child-sponsorship NGOs: World Vision Canada, Plan Canada, and Christian Children's Fund. What the analysis reveals is a type of advertising dependent on antiquated dynamics of colonial dominance between Canada and Africa. This project also explores the reasons for its success despite Canada's anti-racist rhetoric. Drawing from the works of Roland Barthes, Pierre Bourdieu, Fances Henry and Carol Tator, and others, this study draws conclusions about the cultural identity of the Canadian mainstream, and proposes critical consumption and the questioning of sociocultural norms as a way forward.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.035 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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 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".