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Record W4390108591 · doi:10.29173/isotl687

Views and Value of an Undergraduate General Education on Advancing Student Attitudes and Engagement with Science

2023· article· en· W4390108591 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueImagining SoTL · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsMount Royal University
FundersMount Royal University
KeywordsPseudoscienceCurriculumScientific literacyScience educationMathematics educationPsychologyStudent engagementMedical educationPedagogyMedicineAlternative medicine

Abstract

fetched live from OpenAlex

The enhancement of science literacy is a longstanding educational goal of liberal education programs. We conducted a mixed methods study to investigate undergraduate student science attitudes and engagement with science, with specific interests on student program (science vs. nonscience), level of study (junior: 1st and 2nd year, vs. senior: 4th+ year), and over a single general education science literacy course (pre vs. post). Data were collected through an online questionnaire (n=272) and semi-structured interviews (n=19). We found that self- assessed science literacy was higher post compared to pre, in senior compared to junior and for science compared to nonscience students. In contrast, interest in learning science topics did not increase pre-post or junior-senior but was high overall. Belief in pseudoscience was also high overall, including senior and science students, groups we expected pseudoscience belief to be lower. This work highlights the need to align science curriculum with student interests while differentiating science from pseudoscience topics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.472
Teacher spread0.406 · 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