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Record W4414288562 · doi:10.7251/nsk2401155m

FAKTORSKA STRUKTURA KAI UPITNIKA KIRTONOVOG MODELA ADAPTIVNOSTI-INOVATIVNOSTI

2024· article· sr· W4414288562 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

VenueНАША ШКОЛА · 2024
Typearticle
Languagesr
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisResearch methodologyCroatianQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Cilj ovog istraživanja bio je utvrđivanje faktorske strukture upitnika KAI Kirtonovog modela inovativnosti-adaptivnosti. Uzorak je činila studentska populacija. Rezultati su potvrdili osnovnu pretpostavku, tj. postojanje dva pola dimenzije adaptivnosti-inovativnosti KAI modela, kao i trofaktorsku strukturu Kirtonovog KAI upitnika na studentskoj populaciji u Srbiji. Utvrđeno je postojanje dva velika faktora adaptivnosti i inovativnosti, kao i dimenzija efikasnosti, originalnosti i konformizma, u koje se grupiše prethodno utvrđenih devet podfaktora. S obzirom na veliku mogućnost primene u različitim domenima predviđanja ponašanja, kao što su obrazovanje i akademska postignuća, organizaciona ponašanja i sl., kroz buduća istraživanja bilo bi poželjno daljom evaluacijom proveriti strukturu KAI modela i na drugim uzorcima ispitanika u našoj zemlji.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.047
GPT teacher head0.224
Teacher spread0.177 · 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