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Record W7006273121

Teacher perceived barriers to implementing regular daily physical activity in Simcoe County elementary schools / by Cindy Middlemass Strampel.

2017· other· en· W7006273121 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)LimitingNucleofectionFilter (signal processing)
DOInot available

Abstract

fetched live from OpenAlex

Background:
\nTeachers in Ontario are expected to implement 20 minutes of daily physical activity
\n(DPA) into their daily programming, due to the Ministry of Health Promotion guidelines adapted
\nin 2006. This study examined whether or not teachers perceived barriers to implementing the
\ndaily 20 minutes of DPA, and if so what those barriers were. This study also examined potential
\nsolutions to these barriers in order to enable teachers to successfully implement the DPA into
\ntheir programs.
\nMethods:
\nA survey was distributed to a convenience sample of 137 certified elementary school
\nteachers from a public school board in Simcoe County. Participants were asked to rank several
\npreviously identified barriers to DPA and possible solutions using a five-point Likert-scale.
\nParticipants were also asked two open-ended questions in order to gain further information on
\nany other perceived barriers not mentioned in the survey, and also on any other solutions not
\nmentioned in the survey. The quantitative data was analysed and the open-ended questions were
\ntranscribed, examined, and themes were generated.
\nResults:
\nTeachers reported four main barriers to DPA implementation: lack of time due to other
\ncurriculum pressures, lack of resources, lack of space, and lack of staff and student ?buy in? to
\nDPA. Participants also indicated many possible solutions to DPA barriers, including: activities
\nthat utilize minimal equipment, music resources, exercise videos, whole school DPA approach.
\nand student leaders for DPA.
\nConclusion:
\nMany of the solutions indicated by participants are inexpensive, easy to implement, and
\nwill be successful in reducing the effect of many of the important barriers to DPA examined in
\nthis study.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.024
GPT teacher head0.277
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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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