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Record W2982674096

Self-Reward Strategies Associated With Academic Effectiveness

2019· article· en· W2982674096 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.

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSession (web analytics)PsychologyPlan (archaeology)Social psychologyApplied psychologyMedical educationMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Most people have struggled with studying at some point in their lives. A tactic that has been used to alleviate this issue is to reward oneself for studying. MacEwan University students (N = 353) were asked to complete an online survey that included the following questions: (1) To what extent do you reward yourself in some way when you complete a study session? (2) To what extent do you deliberately plan some type of reward following a study session? (3) To what extent do you reward yourself following a study session, but only if you successfully complete the study session as planned? Students’ ratings on these items were correlated with their ratings of whether they also successfully completed their study plans. The results showed that while all the self-reward strategies were significantly correlated with study plan completion, the regression analysis indicated that rewarding oneself only after the study session was successfully completed (contingent self-reward) was most predictive of study plan completion. These results have implications for the kinds of advice offered to students to improve their study behaviour. Limitations of these findings include the correlational nature of the study and the use of self-report measures only.   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 categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.084
GPT teacher head0.480
Teacher spread0.397 · 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