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Record W7118754186 · doi:10.5281/zenodo.18012347

TIMSKI RAD U FUNKCIJI RAZVOJA ZAPOSLENIH NA PRIMERU IT KOMPANIJE

2025· article· W7118754186 on OpenAlexaff
Ivana Ivanović, Jelena Andjelkovic Labrovic

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-Appalaches
Fundersnot available
KeywordsStylus

Abstract

fetched live from OpenAlex

Apstrakt: Rad se bavi proučavanjem značaja timskog rada na profesionalni razvoj zaposlenih u okviru IT kompanije. Polazna pretpostavka je da timski rad, osim realizacije zadataka, predstavlja važan mehanizam za učenje, razmenu znanja i izgradnju poverenja među članovima tima. Istraživanje kombinuje teorijski okvir sa analizom ankete sprovedene među zaposlenima, kako bi se sagledalo na koji način kvalitet timske saradnje doprinosi jačanju kompetencija i motivaciji za napredak. Rezultati pokazuju da elementi poput jasne komunikacije, zajedničkih ciljeva, podrške i psihološke sigurnosti imaju ključnu ulogu u profesionalnom razvoju. Zaključuje se da ulaganje u timsku kulturu, mentorstvo i kontinuirano učenje doprinosi i individualnom i organizacionom rastu. Ključne reči: timski rad, profesionalni razvoj, IT kompanija, saradnja, komunikacija, poverenje, psihološka sigurnost, organizaciona kultura

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)0.004
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.008
Scholarly communication0.0180.009
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0370.005

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 head0.053
GPT teacher head0.239
Teacher spread0.186 · 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
Published2025
Admission routes1
Has abstractyes

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