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Record W2025268588 · doi:10.3402/ijch.v63i0.17870

Speech language pathology services in Kivalliq Region of Nunavut, Canada

2004· review· en· W2025268588 on OpenAlexaffabout
S. Loughery, Alexander Macaulay, Moni Fricke, A. Durcan, J. E. Cooper

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2004
Typereview
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReferralService (business)MedicineSpeech-Language PathologyPsychologyFamily medicineBusinessPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVES: To provide a review of Speech Language Pathology services in the Kivalliq Region of Nunavut, Canada, since its inception. Referral sources, reasons for referral and discharge will also be shown for seven of the communities in the Kivalliq Region. STUDY DESIGN: A quantitative and qualitative survey of the services received for the 26-month time period from January 2001 to February 28th, 2003. METHODS: A record review of Speech Language Pathology services was conducted. Referral sources in each community, the rate of referrals, reasons for discharge and changes in abilities of three clients were examined. RESULTS: The rate of referrals increased as the service became more familiar. Small increases in client abilities were noted over the specified time period. CONCLUSION: Speech Language Pathology services are being utilized more effectively as the referral sources become more familiar with the program.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.064
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.048
GPT teacher head0.453
Teacher spread0.405 · 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 designNot applicable
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
Published2004
Admission routes2
Has abstractyes

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Same venueInternational Journal of Circumpolar HealthSame topicDysphagia Assessment and ManagementFrench-language works237,207