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Record W2117341012 · doi:10.1080/00224545.2010.507265

A Question of Honor: Chief Wahoo and American Indian Stereotype Activation Among a University Based Sample

2011· article· en· W2117341012 on OpenAlexaboutno aff
Scott Freng, Cynthia Willis-Esqueda

Bibliographic record

VenueThe Journal of Social Psychology · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsHonorStereotype (UML)Prejudice (legal term)PsychologyIndigenousSocial psychologyStereotype threatLogo (programming language)Gender studiesMedia studiesSociology

Abstract

fetched live from OpenAlex

ABSTRACT For over 30 years, a debate has raged regarding the appropriateness of high school, university, and professional sports teams using American Indian mascots. Proponents of such mascots state that these images are traditions and honor Indigenous People. Opponents of these images argue that the symbols foster stereotypes (Pewewardy, 1999 Pewewardy, C. 1999. From enemy to mascot: The deculturalization of Indian mascots in sports culture. Canadian Journal of Native Education, 23: 176–189. [Google Scholar]) and negatively affect American Indians (Fryberg, Markus, Oyserman, & Stone, 2008 Fryberg, S. A., Markus, H. R., Oyserman, D. and Stone, J. M. 2008. Of warrior chiefs and Indian princesses: The psychological consequences of American Indian mascots. Basic and Applied Social Psychology, 30: 208–218. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). The purpose of this investigation was to examine if exposure to an American Indian mascot activated American Indian stereotypes in a predominately European American sample. In addition, we explored the role of personal motivation, prejudice level, and experience on stereotype activation. We found that the Chief Wahoo image (i.e., Cleveland Indian's logo) compared to other images activated negative, but not positive, American Indian stereotypes. Participants' motivation to control prejudice, prejudice level, and experience did not predict negative stereotype activation. Limitations and directions for future research are discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.332
Teacher spread0.294 · 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.

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

Citations34
Published2011
Admission routes1
Has abstractyes

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