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Record W6991445634

History Of Psychology Courses? Influence On Students? Personal Epistemologies

2024· other· en· W6991445634 on OpenAlexaff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsYork University
Fundersnot available
KeywordsHistory of psychologyPerceptionCritical psychologyPsychological researchEmpirical psychologyTheoretical psychologyAsian psychologyPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

This paper explored how the history of psychology course influences students’ personal epistemologies and if, and how, this alters students’ perceptions of psychological knowledge. Students’ ways of knowing, their experience in the history of psychology course, and their attitudes towards psychology were collected by open-ended interviews with students and qualitatively analyzed. The findings were largely reflected the empirical and theoretical bodies of work on personal epistemology and the history of psychology. The results suggested that a development in students’ ways of knowing and a broadening in students’ conceptualizations about psychological knowledge and institutional psychology took place following their completion of the course. The results contribute to existing personal epistemology literature which is always engaged with the role and outcome of education on students’ beliefs about knowledge. Furthermore, this research also contributed to discourse regarding the history of psychology course’s position within academic psychology, and the importance of teaching history critically.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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