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Record W7030094970

Looking back to move forward: a retrospective look at lived experience to inform
\nfuture physical literacy practice

2024· dissertation· en· W7030094970 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2024
Typedissertation
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101Circumstantial evidenceArticular cartilage damageGestational period
DOInot available

Abstract

fetched live from OpenAlex

Physical inactivity among adolescents and young adults experiencing intellectual disabilities (ID) \nhas been a long-standing issue. Physical literacy (PL) is one framework community leaders, \nresearchers, and practitioners have pursued to improve physical activity (PA) participation and \nengagement for all. Diverse perspectives are needed to develop a comprehensive understanding \nof best practices in PL, including the views of individuals who experience disabilities. This \nresearch explores the subjective perception of the PL journeys of individuals who experience ID. \nThe primary research question is, “How does the transition from adolescence to adulthood \nimpact the PL journey of individuals experiencing ID?” This question was addressed via semistructured \ninterviews with five young adults aged 20-26 diagnosed with ID. Components of this \nstudy were supported by the COM-B model of behaviour change as the theoretical framework \nand interpretive phenomenological analysis (IPA) as the methodology. Subsequent analysis of \ninterview transcripts revealed that individuals who experience ID understand their PL journey in \nthe transition to adulthood to be the product of a) the past dictates the present and future, b) a \nteam-based approach and c) exploring opportunities everywhere. Results indicate that \nindividuals experience a range of barriers to participation and that transitioning to adulthood is a \nvulnerable time in one’s PL journey that requires additional support. However, participants \nillustrate a sense of resilience and responsibility in pursuing PL that has facilitated their growth \nuntil now and into adulthood.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.320
Teacher spread0.302 · 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
Published2024
Admission routes1
Has abstractyes

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