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Record W2983405183 · doi:10.5772/intechopen.89192

Sport for Development and Peace: Current Perspectives of Research

2019· book-chapter· en· W2983405183 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIntechOpen eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversité du Québec à Montréal
FundersEmerald Publishing
KeywordsDiplomacyPolitical scienceField (mathematics)Sustainable developmentContext (archaeology)Cohesion (chemistry)Public relationsPoliticsGeography

Abstract

fetched live from OpenAlex

Sport for Development and Peace (SDP) is an international movement that began in the 2000s with the Millennium Development Goals (2000–2015) and is currently continuing around the United Nations’ Sustainable Development Goals 2015–2030, driven by international organizations such as UNESCO. Often located in an international development context, organizations and associations use sport as a vehicle to reach several social and humanitarian missions (e.g., education, social cohesion, health, reintegration, diplomacy, and peace). This chapter presents the origins and objectives of the SDP, but it also looks at current research in the field. Since 2010, studies have significantly increased in the field around four main areas (macrosociological, field explorations, program management and evaluation, and literature reviews). This chapter also provides illustrations of SDP research projects, axis of tensions between practice and theory, and perspectives for future research in the field.

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.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.986
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.175
GPT teacher head0.445
Teacher spread0.271 · 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