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Record W2299791615 · doi:10.14288/1.0071315

Peace, love, and pi : imagining a world where Paris Hilton loves mathematics

2010· article· en· W2299791615 on OpenAlexaboutno aff
Vanessa Vakharia

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsArtMathematicsTheologyVisual artsPhilosophy

Abstract

fetched live from OpenAlex

This thesis is a conceptual piece that explores how incorporating marketing theory and notions of cool into the realm of mathematics education may help to prevent qualified female students from self-selecting out of mathematics. It begins by exploring current perspectives on the problem of female attrition in educational and career trajectories involving math. Focusing on girls from Toronto, Ontario, who generally see themselves as part of the mainstream culture, this thesis speculates as to how these girls understand mathematics and their relationship to mathematics. The central purpose of this research is to understand whether these girls choose not to pursue math beyond the compulsory level because they are selecting courses to construct their identity on the basis of cool, using the same evaluation process they would when selecting products for consumption. Drawing extensively on literature, this thesis presents a novel perspective with which to view female disinterest in mathematics. This conceptual framework is then illuminated with participants’ data obtained through qualitative methodology to provide an experiential account of the conceptual. Grounding the empirical data atop the conceptual brings to life the interconnection of perspectives of scholars such as Walkerdine, Mendick, Demetriou, and Gladwell, illustrating how femininity, consumerism, and mathematics comprise our socially constructed reality. This thesis argues that treating math as a consumer good by marketing it accordingly might give rise to increased mathematical participation and enthusiasm by this particular segment of girls who rely on identity marketing for many of their consumption decisions. Finally, this argument is illuminated by a sample marketing plan that provides a practical example of how the ideas emergent from this study might applied. In conclusion, this thesis addresses the limitations and controversies that arise from the use of marketing as a means to promote education, the challenges of unfixing and subverting femininity, and the macro level possibilities that are opened up with the help of a micro level nudge in a different direction.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.029
Scholarly communication0.0120.014
Open science0.0010.005
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.244
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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