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Record W2152650466 · doi:10.1123/ssj.26.1.155

Digital Activism: Neoliberalism, the Internet, and Sport for Youth Development

2009· article· en· W2152650466 on OpenAlexaff
Brian Wilson, Lyndsay Hayhurst

Bibliographic record

VenueSociology of Sport Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsThe InternetNeoliberalism (international relations)Public relationsSociologyMeaning (existential)Political scienceSocial sciencePsychology

Abstract

fetched live from OpenAlex

This article reports findings from an interview-based study focused around the role of the Internet in the development and operations of four nongovernmental organizations (NGOs) that use sport as part of their youth engagement efforts. Findings showed, on the one hand, how the emergence of certain NGOs would not have been possible if not for the Internet. On the other hand, it was clear that the Internet contributes to a form of “ironic activism,” meaning that the practices that underlie certain forms of Internet-enabled NGO activity also reproduce neoliberal, market-driven approaches to dealing with social problems. The article includes discussion about ways in which the use of communication technologies by “sport for development” NGOs is reflective of broader developments in and around the NGO community.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.017
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.312
Teacher spread0.272 · 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

Citations57
Published2009
Admission routes1
Has abstractyes

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