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Record W2790812246 · doi:10.20381/ruor-18895

(Mis)placing race: Deconstructing myth in televised advertisements for three child sponsorship organizations

2008· dissertation· en· W2790812246 on OpenAlexaboutno aff
Jennifer Gurbin

Bibliographic record

VenueuO Research (University of Ottawa) · 2008
Typedissertation
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyRace (biology)AdvertisingSociologyBusinessArtGender studiesLiterature

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.361
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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