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Record W2075830511 · doi:10.1080/0950069032000052036

Exploring Turkish upper primary level pupils' understanding of digestion

2005· article· en· W2075830511 on OpenAlexfundno aff
Yılmaz Çakici

Bibliographic record

VenueInternational Journal of Science Education · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
FundersUniversity of NottinghamMount Royal University
KeywordsTurkishMathematics educationPsychologyDigestion (alchemy)PedagogyChemistry

Abstract

fetched live from OpenAlex

This article reports a study of Turkish children's understanding of digestion in Grades 4 and 5 (ages 10–11). Data collection was carried out through the use of an open‐ended questionnaire administered to 283 children in three Turkish primary schools. Follow‐up interviews were conducted with 30 children in Grade 4 and 72 children in Grade 5. The most significant finding was the children's conception of the digestive process as ‘melting of foods’ rather than ‘breaking foods down’. Some other children considered digestion to be a filtering process that is performed by the stomach in order to separate the useful and waste parts of food. These views ‘melting of foods’ and ‘filtering of foods’ have not been mentioned in the literature previously. The study revealed that social influences and everyday language had an important impact on children's learning of the digestive process.

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)0.004
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 score0.026
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.090
GPT teacher head0.313
Teacher spread0.223 · 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

Citations48
Published2005
Admission routes1
Has abstractyes

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