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Record W2028368616 · doi:10.5430/wje.v5n1p40

Evaluation of School Environmental Programs Regarding the Objectives for the Environmentally Literate Students, of Heraklion, Greece Prefecture

2015· article· en· W2028368616 on OpenAlexvenueno aff
Maria Kalathaki

Bibliographic record

VenueWorld Journal of Education · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental educationPsychological interventionOrder (exchange)PsychologyAction (physics)Medical educationPedagogyBusiness

Abstract

fetched live from OpenAlex

This evaluation research concerns the aims and objectives for creating the future environmentally literate citizenthrough the environmental programs (PEEs) of Secondary Education of Heraklion prefecture, Crete, Greece. Anevaluation tool applied on the application forms and the final reports of the programs, in order to asses howsustainable they were in the initial planning, whether they satisfy the principles and objectives of Education for theSustainable Development (ESD), if they aimed to culture values, abilities, skills in accordance to the UNESCO andEuropean Community Strategies. The goal of cultivating skill of social action and social interventions which is ofcapital importance in ESD programs, seems to be designed and realized moderately in the studied programs. Theeffectiveness and the benefits of the materialization of the programs, are higher than the assessed by the statisticalanalysis, as there were some mismatches between the application forms and the final reports of the schoolenvironmental programs, where achieved goals, indeed adequately, which had not been included in the initialplanning.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.030
GPT teacher head0.328
Teacher spread0.298 · 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
Published2015
Admission routes1
Has abstractyes

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