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Record W2979619078 · doi:10.29173/iasl7410

The impact of school library on development of entrepreneurial skills in students

2019· article· en· W2979619078 on OpenAlexvenueno aff
Mihaela Banek Zorica, Angelina Bijelić

Bibliographic record

VenueIASL Annual Conference Proceedings · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)Order (exchange)Social skillsBusiness planLife skillsPublic relationsPsychologyKnowledge managementSociologyPedagogyBusinessMarketingPolitical scienceComputer scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

Entrepreneurial skills are among the most important elements of development of each individual, both on a business plan and in any other segment of life. To be an innovative, creative and active member of society and community, prepared to constantly develop existing and create new knowledge and skills, are the fundamental determinants of overall social and economic progress. The aim of this paper is to highlight the importance of impact of school library on development of entrepreneurial skills of each individual, which should be encouraged through education from the earliest age in order for the young person to develop a thinking ability that leads to success, inventive solutions to any life problem, worked-out planning and organization strategies, real risk acceptance and responsible behavior towards oneself and society before starting an independent life.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.022
GPT teacher head0.312
Teacher spread0.291 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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