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Record W1985382038 · doi:10.5539/ies.v3n2p174

Advancing Entrepreneurship in An Elementary School: A Case Study

2010· article· en· W1985382038 on OpenAlexvenueno aff
Sibylle Heilbrunn

Bibliographic record

VenueInternational Education Studies · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsProactivityEntrepreneurshipPrincipal (computer security)PsychologyProcess (computing)PedagogyMathematics educationOrganizational cultureSociologyPublic relationsBusinessSocial psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The aim of the paper is to introduce an experimental entrepreneurial elementary school in Israel. In addition to describing the organizational process of transformation from a conventional elementary school to an entrepreneurial school, the paper attempts to assess the impact of the process on teachers and pupils. The study investigates organizational culture, innovativeness of the school, the principal's proactivity and the entrepreneurial drive of pupils. The findings reveal that the interface of organizational culture fostering innovation, proactivity of the principal and a well defined project outline enables young pupils to learn about entrepreneurship, to learn to be entrepreneurial and to learn to become an entrepreneur. Since childhood and adolescence are the preferred periods in order to develop positive attitudes towards entrepreneurship and acquire basic knowledge on the issue, the presented case can provide a model for further educational undertakings fostering entrepreneurship in the future.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.038
GPT teacher head0.363
Teacher spread0.325 · 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 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

Citations30
Published2010
Admission routes1
Has abstractyes

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