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Record W7132025266

Misconceptions in Psychology, Paranormal Beliefs and Estimate of Answer Accuracy

2022· dissertation· hr· W7132025266 on OpenAlexaboutno aff
Ecia Novaković

Bibliographic record

VenueRepository of the University of Rijeka, Faculty of Humanities and Social Sciences · 2022
Typedissertation
Languagehr
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaTEMPUSAnaphora (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Miskoncepcije su vjerovanja koja nisu u skladu s temeljnim konceptima znanosti i rezultatima dobivenim znanstvenim istraživanjima. Ljudi su često jako sigurni u točnost takvih pogrešnih uvjerenja, iako u većini slučajeva ne posjeduju adekvatno obrazovanje o tom području. Cilj je ovog istraživanja bio ispitati sposobnost prepoznavanja miskoncepcija u psihologiji s obzirom na godinu studija, smjer studija, paranormalna vjerovanja te sigurnost u točnost odgovora. Istraživanje je provedeno na Filozofskom fakultetu u Rijeci, a u istraživanju je sudjelovalo 205 ispitanika (176 ženskog i 28 muškog spola), od kojih je 76 studenata prve godine preddiplomskog studija (41 psihologije i 35 ostalih usmjerenja) te 129 studenata diplomskog studija (75 psihologije i 54 ostalih usmjerenja). Dobivena je značajna negativna povezanost sposobnosti prepoznavanja miskoncepcija u psihologiji s paranormalnim vjerovanjima. Dobivena je i pozitivna povezanost paranormalnih vjerovanja s razinom precjenjivanja točnosti odgovora na testu miskoncepcija. Dobiven je i glavni efekt godine i vrste studija na sposobnost prepoznavanja miskoncepcija te interakcija godine i smjera studija. Studenti diplomskog studija psihologije uspješnije prepoznaju miskoncepcije i manje precjenjuju točnost odgovora od studenata prve godine preddiplomskog studija psihologije te studenata diplomskog i preddiplomskog ostalih usmjerenja.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.051
GPT teacher head0.350
Teacher spread0.299 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRepository of the University of Rijeka, Faculty of Humanities and Social SciencesSame topicParanormal Experiences and BeliefsFrench-language works237,207