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Record W3023783031

Reflections from the lake: an account of Olympic-level coaching expertise in the sport of rowing

2020· dissertation· en· W3023783031 on OpenAlexaboutno aff
Maria Veronica Planella

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2020
Typedissertation
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRowingCoachingPsychologyEngineeringPolitical scienceGeographyForestry
DOInot available

Abstract

fetched live from OpenAlex

The dissertation is comprised of two qualitative, exploratory studies with an overarching research goal to deepen understanding of Olympic level sport coaching expertise through the development of an in-depth case study. These studies take a constructivist view that emphasizes the active construction of knowledge with social boundaries in which meaning is constructed by the reasoning of the individuals who experience it (Rockmore, 2011). In this case, the individuals include an Olympic rowing coach and 18 of his athletes, from a particular period of his coaching career. With an emphasis on the context of Olympic level rowing, this dissertation followed ethnographic traditions in developing a case study of an Olympic level rowing coach within his coaching community in Canada during three Olympic quadrennials (from 2001 to 2012). Informed by the elements of the integrated definition of expert and effective coaching (Côté & Gilbert, 2009), the two distinct but interconnected studies in this dissertation contributed to a detailed examination of the Olympic coach and his philosophy, principles, knowledge and coaching practices and the impact of these elements on athlete outcomes within the specific context of Olympic level rowing. Outcomes from the two studies are indicative of the utility of the knowledge framework and the integrated definition of coaching effectiveness and expertise (Côté & Gilbert, 2009) to guide this study of expert coaching. The extensiveness of this research goes beyond the question of which criteria determine whether a coach is identified as an expert, to reveal the expert's coaching philosophy, his unique practices, and methods interwoven with clear linguistic and behavioural intentionality. The Olympic coach directed all of his efforts at striving for continued expertise for himself and his athletes. Mutuality of trust and respect was the basis of the athlete-coach effective and valued partnership, which supported their collective goal of achieving Olympic excellence. The findings identified that this productive relationship was supported by the integration of the Olympic coach’s professional, intrapersonal and interpersonal knowledge with a superior contextual understanding. In particular, the interpersonal knowledge of the Olympic coach was identified as essential to the commitment of the participant athletes to his training program and the shared goal of Olympic success. The Olympic coach’s expert practice was facilitated by his deliberate presence in the training venue, his transformative leadership and adaptive expertise, a form of expertise that provides clarity on specific features of the Olympic coach’s practice and accounts for his innovations in the sport of rowing. These explanatory constructs of deliberate presence, transformative leadership and adaptive expertise emerged from both studies. The findings also provide perspective on the lasting impact of his coaching on his athletes and the sport of rowing.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0360.028
Scholarly communication0.0110.010
Open science0.0030.013
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.082
GPT teacher head0.374
Teacher spread0.293 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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