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Record W2285247573

What Experts Know and Parents Need to Know About Students with Gifts and Learning Disabilities in British Columbia: A Review of the Literature and Guide for Parents

2014· review· en· W2285247573 on OpenAlexaboutno aff
Lisa Marie Haupt

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typereview
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsnot available
Fundersnot available
KeywordsNeed to knowPsychologyLearning disabilityMedical educationDevelopmental psychologyMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Twice-exceptional students, those with both gifts and learning disabilities are a distinctive group of students.These students are often misunderstood and misdiagnosed.They require support for both of their exceptionalities in order to reach their maximum learning potential in school.This project consists of two separate pieces of work.The first section is a literature review that assesses and reports what is currently understood about students with both gifts and learning disabilities.It includes an overview of research and scholarly reviews focused on students with gifts and learning disabilities, and explored the complexity inherent in identifying, assessing and educating twice-exceptional students in British Columbia.The second section is a parent handbook.Concepts from the scholarly literature that are often confusing for parents are presented in less formal terms, along with information that can assist parents as their children make their way through the public school system in British Columbia.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.739
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.308
Teacher spread0.292 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2014
Admission routes1
Has abstractyes

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