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Record W3214371595 · doi:10.32920/ryerson.14664465.v1

The Spectacle of Development: The Semiotics of Representations of the Global South

2021· preprint· en· W3214371595 on OpenAlexaffabout
Ruth-Anne Seburn

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsToronto Metropolitan UniversityUniversity of WinnipegCentre for Social InnovationYork University
Fundersnot available
KeywordsSemioticsSpectacleNarrativeRealmMedia studiesSociologyInequalityColonialismAestheticsPolitical scienceArtLawEpistemologyLiteraturePhilosophy

Abstract

fetched live from OpenAlex

The ethics of the image creation practices of modern development and humanitarian NonGovernmental Organizations (NGOs) exist in a complex realm of colonial legacies and historically misguided development approaches. Through a semiotic analysis of the top images on ten Canadian NGO websites, combined with an interview with a Communications Director, this research examines the underlying messages presented about people in the Global South to audiences in the Global North. In order to present legible narratives to an audience of varying perspectives, signs, symbols and allusions which have become enregistered in the cultural lexicon are utilized to present a world that is at once the same as and yet simultaneously widely different from our own. These semiotic tools, which are often used to distract from larger socioeconomic inequalities, can be highlighted to not only analyze how people in the Global South are represented, but how they could be represented more truthfully and ethically.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.064
Scholarly communication0.0100.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.306
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes2
Has abstractyes

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Same topicTourism, Volunteerism, and DevelopmentFrench-language works237,207