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Record W3124751149

Poor, Old 'Physical Education'

2014· article· en· W3124751149 on OpenAlexaff
Earle F. Zeigler

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsWestern University
Fundersnot available
KeywordsPledgeVariety (cybernetics)Public relationsPhysical educationPolitical scienceQuality (philosophy)Field (mathematics)PsychologyPedagogyLaw
DOInot available

Abstract

fetched live from OpenAlex

The field of physical activity (and related) health) education (“poor, old ‘PE’”) needs to assert its will to win more vigorously then ever before. Scholarly and scientific investigation of the past 60 years since Sputnik was launched in 1957 has identified a wide variety of findings proving that a quality program can provide highly important benefits to the growing child and youth. Societal developments, including other curricular demands, have undoubtedly created uneasiness within the overall field of education. In North America the time and attention devoted to the relatively few involved in external highly competitive sport for the few has been a negative factor. At the same time intramural athletics for the large majority of children and youth has not been available to the extent it should be. There is now doubt as to the field’s ability to achieve high status within education. Therefore, we must pledge ourselves to make still greater efforts to become vibrant and stirring through absolute dedication and commitment in our professional endeavors. Ours is a high calling since we seek to improve the quality of life for all people on earth through the finest type of human motor performance in exercise, sport, and related expressive movement.

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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.002

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 head0.027
GPT teacher head0.438
Teacher spread0.411 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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