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Applying Neuroscientific Findings to Education: The Good, the Tough, and the Hopeful

2008· article· en· W2113335374 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

VenueMind Brain and Education · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyCognitionNeuroplasticityContext (archaeology)Cognitive neuroscienceCognitive psychologyTask (project management)NeuroscienceCognitive scienceDevelopmental psychologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT— Advances in neuroscience during the past century have yielded important insights into mental functioning, but their implications for the field of education have remained largely unexplored. In a bold attempt to bridge this gap, Immordino‐Yang presents findings from 2 boys, Nico and Brooke, each of whom lost half of his brain. The remarkable recovery of functions in the 2 boys highlights the degree to which children’s emotional and social experiences shape brain development, as well as the importance of plasticity. Immordino‐Yang places emphasis on cognitive plasticity—the ability to use different strategies in solving a task—which is clearly evident in the boys’ performance. It is possible, however, that neural plasticity may have occurred as well, either prior to or after surgery. Although it may not be possible to distinguish between cognitive and neural plasticity at this point, Immordino‐Yang makes a crucial contribution. By placing these findings in an educational context and presenting their implications in a clear and compelling fashion, she successfully brings neuroscience and education a notch closer.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.030
GPT teacher head0.273
Teacher spread0.242 · 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