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Record W2201950021 · doi:10.1123/ssj.2014-0160

Where is Childhood? In Conversation With Messner and Musto

2015· article· en· W2201950021 on OpenAlexaff
Jason Laurendeau, Dan Konečný

Bibliographic record

VenueSociology of Sport Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHumanitiesSociologyConversationEthnologyPhilosophy

Abstract

fetched live from OpenAlex

In this essay, we build upon Messner and Musto’s recent call for sociologists of sport to take “kids” more seriously; we highlight that in addition to taking kids and kids’ sport more seriously, sport scholars might go further toward considering childhood not simply as a stage of life, but as a set of ideas that shape and are shaped by sporting and recreational practices and discourses. To illustrate the value of this approach, we explore a number of complexities and contradictions of contemporary risk discourses, and the ways in which these are connected to the (re)production of young people as vulnerable subjects. Dans cet essai, nous nous appuyons sur Messner et Musto qui ont récemment encouragé les sociologues du sport à prendre les enfants plus au sérieux; nous soulignons qu’en plus de prendre les enfants et les activités sportives des enfants au sérieux, les chercheurs en sport peuvent aller plus loin et considérer l’enfance non seulement comme une étape de la vie, mais aussi comme un ensemble d’idées qui forment les pratiques et discours sportifs et récréatifs et sont formées par ceux-ci. Pour illustrer le bien-fondé de cette approche, nous explorons un certain nombre de complexités et contradictions qui existent dans les discours actuels sur le risque, et les façons dont ils sont connectés à la (re)production des jeunes comme sujets vulnérables.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.241

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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

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