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Record W2160120633 · doi:10.5539/jel.v4n4p80

An Experience of Science Theatre to Introduce Earth Interior and Natural Hazards to Children

2015· article· en· W2160120633 on OpenAlexvenueno aff
Gemma Musacchio, Tiziana Lanza, Giuliana D’Addezio

Bibliographic record

VenueJournal of Education and Learning · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
FundersIstituto Nazionale di Geofisica e Vulcanologia
KeywordsCreativityPsychologyNatural hazardCurriculumNatural (archaeology)VitalityEntertainmentContext (archaeology)DocumentationPedagogyMathematics educationSocial psychologyHistoryVisual artsGeographyArtComputer science

Abstract

fetched live from OpenAlex

<p>The present paper describes an experience of science theatre addressed to children of primary and secondary school, with the main purpose of making them acquainted with a topic, the interior of the Earth, largely underestimated in compulsory school curricula worldwide. A not less important task was to encourage a positive attitude towards natural hazards that are here presented as an expression of our planet vitality. We conducted the experience with the help of a theatrical company specialized in shows for children, trying to merge scientific accuracy, entertainment and ethical issues. Several performances have been reiterated in different context, giving us the opportunity of conducting a preliminary survey with a public of different ages, skills and expectations. Results suggest that science theatre, while relying on creativity and emotional learning has the potential to raise children interest on the process of making science, on natural phenomena and may trigger a positive attitude on natural disasters reduction best practices.</p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.209
Threshold uncertainty score0.202

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.289
Teacher spread0.284 · 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 teacher head, 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

Citations11
Published2015
Admission routes1
Has abstractyes

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