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Record W7029572872

Investigation of responses of age-group swimmers during training / by W. Alan M. Roaf. --

2017· other· en· W7029572872 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
FundersStrong
KeywordsTest (biology)Training (meteorology)Adaptation (eye)Repeated measures designLongitudinal study
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to monitor a series of multidisciplinary
\nindices associated with swimming performance in age-group
\nswimmers throughout a period of serious training. Three female
\nand three male members of the Thunder Bay Thunderbolts Swim Club,
\nThunder Bay, Ontario were the subjects of this nine week investigation
\nThe test protocol measured 1) height, 2) weight, 3) skinfold measurements,
\n4) resting heart rate, 5) resting blood pressures, 6) hemoglobin,
\n7) hematocrit, and 8) M.C.H.C. A sociological scale, a psychological
\ninventory, and a stress index were included. Graphical analyses were
\nused. Changes had to be visually obvious to be recognized. The
\nresults showed that 1) variations were unique to the individual
\nsubjects, 2) individual responses were independent of the training
\nload, 3) intra-subject parameters varied within ranges unique to each
\nindividual, 4) individual, rather than group assessments, may be
\nnecessary, 5) longitudinal testing data is necessary , 6) testing
\nprotocols unique to an individual athlete might be specified, and
\n7) ranges of tolerance rather than finite data points may more
\naccurately measure an athlete's adaptation to a state of training.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.037
GPT teacher head0.239
Teacher spread0.202 · 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
Published2017
Admission routes1
Has abstractyes

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