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Record W3084019238

The recommendation that learners be provided choice over feedback scheduling is challenged when a perceived coach-controlled group is added to the typical self-controlled learning paradigm

2019· article· en· W3084019238 on OpenAlexaff
Zachary Yantha, Caitlin Hodge, Jordan Hassin, Diane M. Ste‐Marie

Bibliographic record

VenueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository) · 2019
Typearticle
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyScheduleTask (project management)Group (periodic table)DiscretionSocial psychologyApplied psychologyComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Researchers have shown that learners who self-control (SC) their knowledge of results (KR) schedule learn the task more effectively than yoked learners. A recommendation that has followed from such results is that learners should be provided choice over their KR schedule, rather than at a coaches' discretion (Wulf & Lewthwaite, 2016). No research to date, however, has compared SC learners to a group that more closely mimics that of receiving KR from a coach, thus challenging whether such recommendations can be made. To this end, three groups learned a golf putting task; a SC group, a traditional yoked group (TY), and a group who were led to believe that their KR schedule was being controlled by a golf coach (perceived coach-controlled yoked group; PCC). Participants (N= 60) completed three phases; pre-test, acquisition, and two 24-hr delayed post-tests (retention/transfer). All groups lowered their mean radial error (MRE) throughout acquisition (F(8.26, 470.6)= 4.95, p

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.291
Teacher spread0.242 · 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
Published2019
Admission routes1
Has abstractyes

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