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Record W3025146580 · doi:10.1177/0829573520916610

Teachers’ Unpreparedness to Accommodate Student Needs

2020· article· en· W3025146580 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

VenueCanadian Journal of School Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPreparednessPsychologyInclusion (mineral)Special needsProfessional developmentSpecial educationMathematics educationMedical educationTeacher preparationTeacher educationMainstreamingPedagogyMedicine

Abstract

fetched live from OpenAlex

Many students require special education and programming to succeed in the classroom. This study analyzed international and national assessment teacher survey data regarding inclusive education to better characterize student classroom needs and teacher preparedness to support them. Most teachers indicated that they relied on teacher-based accommodations and some teachers did not have access to external resources. While many teachers did not indicate receiving adequate teacher training courses and professional development (PD) on inclusive education, results indicate students from classrooms in which teachers took inclusive education PD statistically significantly outperform their peers ( F[1, 5.2] = 526.60, p < .05). As school psychologists support teachers in their classrooms to meet the needs of all their students, it is important for school psychologists to consider the minimal training and lack of PD attended by these teachers coupled with their relaxed attitude toward attending PD on teaching students with special needs.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.406
Teacher spread0.334 · 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