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Record W4362475931 · doi:10.24908/iqurcp16319

Special Educator Toolbox

2023· article· en· W4362475931 on OpenAlexaffvenueabout
Jocelyn Peng, Emma O’Brien, Emma Mcshane, Sabrina Tanenbaum, Kaitlyn Trowbridge

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsQueen's University
Fundersnot available
KeywordsToolboxCertificationSpecial educationPsychologyInclusion (mineral)CommissionIntellectual disabilitySpecial needsPedagogyMedical educationMathematics educationComputer sciencePolitical scienceMedicineSocial psychology

Abstract

fetched live from OpenAlex

The purpose of our collaborative research is to explore the qualifications necessary in a teacher’s toolbox to effectively support the needs of students with disabilities. Students with physical, intellectual, behavioural and/or developmental disabilities that impede their ability to continuously and effectively be integrated into a traditional classroom setting will require supports from specialised teachers and outside resources (Ontario Human Rights Commission, 2018). Findings suggest that in addition to specific training and qualifications, special education teachers should collaborate with parents and guardians on a classroom level, employ technological resources to enhance the learning experience of those students with disabilities, and differentiate what additional knowledge is required beyond general certifications. Further research on this topic could explore specific ways educators can consider cultural or racial conceptions of disabilities while still fostering family involvement, technology and apps tailored specifically towards students with disabilities, and implementing these suggestions in the real-world then reporting on the results.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.157
GPT teacher head0.446
Teacher spread0.289 · 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.

Study designNot applicable
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

Citations0
Published2023
Admission routes3
Has abstractyes

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