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Record W2961859365

Becoming a Stronger Student

2019· article· en· W2961859365 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsProcrastinationTemptationPsychologyAutomaticitySocial psychologyControl (management)Academic achievementApplied psychologyHabitMedical educationMathematics educationComputer science
DOInot available

Abstract

fetched live from OpenAlex

Research has shown that self-control is a vital component of scholastic achievement. A major problem students’ face, however, is that they often succumb to the temptation of more immediately available rewards, thereby opting to put off study behaviours. Various self-management tactics are often recommended for studying improvement. Little is known, however, about what may be the ‘best’ tactics for students to implement. Thus, the present research examined the relative efficacy of several self-management tactics commonly recommended to improve studying and academic performance. Undergraduate students (N=689) at a small Canadian university completed a survey examining the association between selected self-management tactics and students’ tendency to complete intended study plans, ability to concentrate while studying, tendency to procrastinate, grade point average, and students’ perceived automaticity (“habit strength”) of sitting down to study. Regression analyses indicated that the use of a dedicated study environment, implementation intentions, and contingent self-reward were the most beneficial tactics for improving study behaviour and academic performance. A limitation of this study is the correlational nature of the results. Further experimental research is needed to properly determine the relative efficacy of these tactics for improving study behaviour and academic performance.   Faculty Mentor: Russ Powell Department: Psychology (Honours)

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.149
GPT teacher head0.501
Teacher spread0.352 · 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