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Record W2608562329 · doi:10.1080/01443410.2017.1322178

Lay theories of passion in the academic domain

2017· article· en· W2608562329 on OpenAlex
Benjamin J. I. Schellenberg, Daniel S. Bailis

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

VenueEducational Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPassionPsychologyDomain (mathematical analysis)Academic achievementPsychoanalysisSocial psychologyMathematics educationEpistemologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

Our aim was to study students’ beliefs about passion and its influence on academic performance and experiences, and determine whether these beliefs depend on harmonious or obsessive passion. In Study 1, participants estimated passion scores for the most successful, average and least successful students in university. In Study 2, participants viewed completed questionnaires that depicted students as having varying levels of passion, and then predicted the students’ performance and experiences in university. Across both studies, students expected that having passion for academics, regardless of predominant passion type, was related to substantially higher levels of performance compared to those who were not passionate. Participants also believed that students with strong levels of harmonious passion experienced more positive academic experiences than those without any harmonious passion. Although students likely overestimate the role that passion plays in determining academic performance, they distinguish between passion types when estimating one’s academic experiences.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.435
Teacher spread0.385 · 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