MétaCan
Menu
Back to cohort
Record W7131883810 · doi:10.19090/cit.2022.41.62-72

Book buying habits among students of Belgrade University

2022· article· W7131883810 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueREPFF - Repository of the University of Belgrade - Faculty of Philology · 2022
Typearticle
Language
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianSignificant differenceQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

U radu su predstavljeni rezultati kvantitativne studije koja je istraživala ponašanje studenata Beogradskog univerziteta u vezi sa kupovinom knjiga koje ne spadaju u domen nastavne literature. U elektronskom anketiranju sprovedenom u julu 2020. godine učestvovao je 471 ispitanik čiji su se odgovori odnosili na ponašanje u proteklih godinu dana. Rezultati pokazuju da je čak 84,3% (397) akademaca kupilo barem jednu knjigu tokom navedenog perioda. Najčešće se knjige nabavljaju u nekom od lanaca knjižara (332), mada nije zanemarljiv broj onih koji ih naručuju sa veb-sajtova knjižara (157) ili na nekim drugim veb-stranicama (86). Određen broj studenata kupuje i elektronske knjige (33). Ispitanici se najčešće odlučuju za klasike iako su zainteresovani i za trilere, drame, kriminalističke romane, kao i za edukativne sadržaje, filozofiju i psihologiju. Polovina studenata koji kupuju knjige pozajmljuje štivo za čitanje iz biblioteke. Od onih koji knjige ne kupuju, 23% (17) koristi usluge biblioteka, a 27% (20) njih čita knjige u elektronskom obliku koje pronalazi na internetu.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0050.006
Research integrity0.0000.001
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 head0.013
GPT teacher head0.196
Teacher spread0.183 · 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