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Record W2590524488 · doi:10.11575/prism/24771

Allies or Antagonists: Alberta Elementary Teachers’ Current Perceptions of School Psychologists

2016· dissertation· en· W2590524488 on OpenAlexaboutno aff
Heather Craig

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typedissertation
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionMathematics educationSchool psychologyPsychologyEducational psychologyCurrent (fluid)PedagogyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Using a mixed-methods design, the present study investigates Alberta elementary teachers’ perceptions of school psychologists, specifically examining their knowledge about school psychologists and school psychological services, teachers’ experience and use of these services, and their satisfaction and recommendations for improving school psychological services. A sample of 90 elementary teachers across 13 school boards in Alberta participated in this study. Results indicated teachers reported having little to some knowledge about school psychologists but have a narrow view of these services. There was little consistency on when to contact a school psychologist, but teachers typically contact school psychologists for specific services, rather than based on level of student severity. Overall, teachers were satisfied with the services provided by school psychologists but had several recommendations for improvements to how school psychologists can better support teachers and improvements to school psychological services in general.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.795

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.080
GPT teacher head0.334
Teacher spread0.255 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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