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Record W4378878636 · doi:10.37885/230513024

SISTEMÁTICA FILOGENÉTICA DOS ANIMAIS: UMA PROPOSTA DE ENSINO COM USO DE REALIDADE VIRTUAL

2023· book-chapter· pt· W4378878636 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEditora Científica Digital eBooks · 2023
Typebook-chapter
Languagept
FieldSocial Sciences
TopicScience and Education Research
Canadian institutionsCommunications Security Establishment
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Neste estudo, estudantes de uma escola pública realizaram uma visita virtual ao National Museum of Natural History online durante uma atividade nas aulas de Biologia. Esse ambiente de realidade virtual, em projeção de imagens em 360º, promoveu a interação com espécimes animais e estimulou a reflexão acerca da diversidade e evolução dos animais, integrando os conhecimentos de sistemática filogenética. Esta experiência evidenciou que: (1) o uso de realidade virtual, enquanto ferramenta auxiliar, no ensino de Biologia, gerou entusiasmo, atenção e comprometimento dos estudantes com o seu processo de aprendizagem e; (2) as características morfológicas dos animais foram facilmente observadas, analisadas e lembradas pelos estudantes, enquanto as características fisiológicas e filogenéticas apresentaram maior dificuldade de compreensão.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.004
Scholarly communication0.0040.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.067
GPT teacher head0.338
Teacher spread0.271 · 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