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Record W2401809954 · doi:10.1177/1012690216644444

Online news comments as a public sphere forum: Deliberations on Canadian children’s physical activity habits

2016· article· en· W2401809954 on OpenAlexaffabout
Lisa McDermott

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPublic spherePublic relationsNews mediaOnline discussionGovernment (linguistics)SociologyPolitical sciencePublic broadcastingCorporationMedia studiesPoliticsLaw

Abstract

fetched live from OpenAlex

While considerable scholarly research has examined online media’s function as a public sphere forum, surprisingly little analysis has extended to examining the public’s actual deliberations of the covered issue(s). Recognizing this gap, this discussion conceives online news comments in response to a CBCNews ( Canadian Broadcasting Corporation online news) article reporting the release of Active Healthy Kids Canada’s 2010 Report Card on Physical Activity for Children and Youth as such a forum. Children’s physical (in)activity habits have become a central focus of various realms (e.g. medical, government, public health, educational and media), which have increasingly framed them as a pressing societal concern. And while the discursive effects of such representations have been subject to critical cultural analysis, not examined to date is the public’s understanding of this issue. The online comments posted in response to the CBCNews article are thus used as an occasion to examine some of the Canadian public’s sense-making of this “problem” in terms of the discourses they invoked in their deliberations.

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)0.024
metaresearch head score (Gemma)0.048
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: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.011
Science and technology studies0.0160.018
Scholarly communication0.0120.005
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.053
GPT teacher head0.390
Teacher spread0.337 · 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

Citations13
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueInternational Review for the Sociology of SportSame topicSocial Media and PoliticsFrench-language works237,207