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Record W2899186679 · doi:10.4324/9781315716497-7

Going the distance: a tale of energy, commitment and collaboration: Drew Ferguson, Head Coach of Canada’s Para Soccer Team

2016· book-chapter· en· W2899186679 on OpenAlexaboutno aff
Laura Purdy, Jennifer Purdy, Paul Potrac

Bibliographic record

VenueEdge Hill University Research Information Repository (Edge Hill University) · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsnot available
Fundersnot available
KeywordsCoachingFootballWork (physics)PsychologyFootball teamCerebral palsyApplied psychologyPublic relationsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

n this chapter, we examine the career and practice of Drew Ferguson, the Head Coach of Canada’s Para Soccer Team. The chapter begins with a brief introduction to Para soccer, which is also known as cerebral palsy (CP) football or 7-a-side football. Following this background information, an overview of Drew’s playing experiences and entry into coaching are provided. The focus of the chapter then shifts to illuminating the various everyday challenges that Drew has to contend with in his work as a Para soccer coach. In the programme’s early days these related to player recruitment and programme awareness, while current issues related to the decentralised nature of the programme and the classification of players. In the final section, Drew provides recommendations and suggestions for coaches who aspire to work in Para soccer.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.889
Threshold uncertainty score0.999

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 studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.279
Teacher spread0.251 · 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
Published2016
Admission routes1
Has abstractyes

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