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Record W7075645540

The psychology of doping in sport

2015· other· en· W7075645540 on OpenAlexaboutno aff

Bibliographic record

VenueSHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · 2015
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaGestational periodArticular cartilage damageLiquation
DOInot available

Abstract

fetched live from OpenAlex

This is the first book to draw together cutting-edge research on the psychological processes underlying doping use in sport and exercise, thereby filling an important gap in our understanding of this centrally important issue in contemporary sport. Covering diverse areas of psychology such as social cognition, automatic and controlled processes, moral decision-making, and societal and contextual influence on behaviour, the book also explores methodological considerations surrounding doping assessment in psychological research as well as future directions for evidence-based preventive interventions and anti-doping education.
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\nWritten by a team of leading international researchers from countries including the US, Canada, Australia, the UK, Greece, Germany, Italy, Denmark and Ireland, the book integrates empirical findings with theoretical guidance for future psychological research on doping, and illuminates the challenges, needs and priorities in contemporary doping prevention. It is important reading for advanced students and researchers in sport and exercise science, sport management and sport policy, and will open up new perspectives for professional coaches, sports administrators, policy makers and sport medicine specialists looking to better understand the doping behaviours of athletes in sport.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0060.003
Research integrity0.0010.002
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 head0.037
GPT teacher head0.284
Teacher spread0.247 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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