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Record W2804543696 · doi:10.5539/jel.v7n4p54

Educational Values of an External School Project

2018· article· en· W2804543696 on OpenAlexvenueno aff
Christina Nygren-Landgärds, Janne Elo, Ida Landgärds, Margita Engelholm

Bibliographic record

VenueJournal of Education and Learning · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsInterviewPsychologyPedagogyPersonalityTerm (time)SociologyPublic relationsSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

External organizations offer schools projects with different content, so-called external school projects. This type of external projects is mainly implemented by people or an organization outside of the school. The projects may be within the framework of a nation's political aspirations. The educational goals of the projects are often far-reaching, focusing on personality or attitudes. This article questions whether external school projects can achieve such far-reaching goals. The aim of the research is to explore the views of young adults regarding how participating in an external project influenced them. In-depth interviewing were used when eleven young adults, at the time 25 years old, were asked about their opinions of an external project in entrepreneurship , implemented as an optional course, ten years after taking part. They were asked how they considered the course have influenced them, their choices and their attitudes. The statements of the informants show that the project had some long-term impact. The results of the research provide insight into whether an external temporary school project may have long-term educational values.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.312
Teacher spread0.292 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

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