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Record W7100108003

Give me a break! Can strategic recess scheduling increase on-task behaviour for first graders? Ontario Action Researcher, 9 (2). Head

2006· article· en· W7100108003 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScheduleAction (physics)ChecklistAction researchScheduling (production processes)Focus (optics)Work schedule
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to determine whether strategically scheduled recess breaks throughout the school day will increase student on-task behaviours during the time when they work independently. As an intervention for this action research study, recess breaks were given more often but for less time; recess breaks were scheduled before and after academic lessons throughout the whole day. Methodology included observations with checklist and field notes. Results of the study suggest that recess breaks scheduled directly before or after academic lessons positively affect student on-task behaviours. Research Focus As a first grade teacher in a rural western New York school, I usually schedule recess breaks after all academic material has been covered for the day. While there is no written rule governing recess in the school district, recess is traditionally offered once after all academic content is covered, and again at the end of the day. Some teachers even treat recess as optional and only give it as a reward if students have had good behaviour throughout the day. Because I also struggle with students ’ off-task behaviour, I was curious to see if they needed more recess breaks to help them focus during academic

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.417
GPT teacher head0.419
Teacher spread0.001 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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