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In Praise of Athletic and Cultural Mongrelization

2011· article· en· W1977567876 on OpenAlexaboutno aff
William J. Morgan

Bibliographic record

VenueQuest · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyArgument (complex analysis)Inclusion (mineral)PraiseMulticulturalismMeaning (existential)Cultural assimilationDiversity (politics)Gender studiesStatus quoSocial psychologyMedia studiesAestheticsPsychologyEthnic groupPolitical scienceLawPedagogyAnthropology

Abstract

fetched live from OpenAlex

I find the particulars of Frisby’s essay, “Promising Physical Activity Inclusion Practices for Chinese Immigrant Women in Vancouver, Canada,” completely persuasive. More specifically, her argument that social inclusion should be based on mutual interaction and mutual learning between immigrants and members of the host nation, her claim that simply relying on the status quo even in the most progressive western nations will likely not promote intercultural exchange and integration, her insistence that neither national groups nor cultural minorities are monoliths, her feminist-based, gender-sensitive approach to this issue, and her reliance on dialogue in the form of a multicultural workshop to foster communication between these two groups regarding, among other things, the meaning of sport, all strike me as not only entirely plausible but as entirely compelling points. What I am less sure about is where to place her own argument for social inclusion in the various multiculturalist accounts of social inclusion she sketches in her paper. That is, if we set aside the assimilationist model of social inclusion, which blithely insists subordinate cultural groups simply adapt to the ways of the dominant group, I am not at all sure that her own account of mutual cultural and sporting accommodation fits comfortably with what she calls the intergrationist model, or what she calls after Sandercock the shallow and rich multiculturalism models, or what, finally, she calls echoing DeSensi “valuing diversity” that requires the “acceptance of, adaptation to, and integration of difference” (2010, p. 9). Frisby’s written remarks suggest she is somewhat partial to the “valuing diversity” account of social inclusion, which is worrisome because I think it is, in fact, the least suited to her argument for reasons that will, I hope, shortly become clear. What needs be said for now, however, is that my worry about where to place her argument is not a trivial intellectual worry, but a profoundly practical one. That is because how we construe social inclusion will obviously play a large role in how we go about trying to accomplish it. The revised Canadian 1988 Multiculturalism Act that Frisby mentions in her paper is a case in point, because it advocates for two goals that, I think, are at loggerheads with one another, namely, the goal “to support all of Canada’s cultures,” and the goal “to promote creative encounters and interchanges” between cultural groups” (2010, p. 6). The first goal commits us to the project of cultural preservation, whereas the second one commits us to the significantly different project of cultural innovation and reinvention. I think Frisby’s

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)0.009
metaresearch head score (Gemma)0.028
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0150.033
Scholarly communication0.0150.016
Open science0.0040.008
Research integrity0.0110.030
Insufficient payload (model declined to judge)0.0090.004

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 head0.039
GPT teacher head0.324
Teacher spread0.285 · 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
GenreCommentary

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
Published2011
Admission routes1
Has abstractyes

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