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Record W2907761767 · doi:10.4324/9781315203805-17

Closing the circle of mental skills training

2017· book-chapter· en· W2907761767 on OpenAlexaboutno aff
John H. Salmela

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsClosing (real estate)Training (meteorology)PsychologyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Most of the selected Ottawa Mental Skills Assessment Tool-3 (OMSAT-3) mental skills, with the exception of stress control, which may be another form of mental toughness, developed in their upbringing, or to genetics, showed improvements after a season-long training with mental skill interventions. Many of the findings clearly demonstrate both the scientific and practical reasons for the selection of the OMSAT-3 methodology. First of all, the OMSAT-3 provides quantitative data and interpretations via the internet at a reasonable price. Other instruments are more limited in their scope, and it regroups the theoretical underpinnings of these measurements. Research in Canada, France and Iran has shown a number of relevant elements which contribute to the understanding of mental skills and exceptional performance in sport. The most important elements are their interactivity, or how learning within one domain influences one or many other mental skills.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0250.011

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 head0.106
GPT teacher head0.411
Teacher spread0.305 · 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 designNot applicable
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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same topicEducational and Psychological AssessmentsFrench-language works237,207