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Record W1530658618 · doi:10.1044/vvd25.2.66

A Brief Overview of the WPATH Companion Document on Voice and Communication

2015· article· en· W1530658618 on OpenAlexaff
Shelagh Davies

Bibliographic record

VenuePerspectives on Voice and Voice Disorders · 2015
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransgenderScope (computer science)Scope of practiceClinical PracticePsychologyMedical educationMedicineFamily medicinePolitical scienceComputer scienceHealth care

Abstract

fetched live from OpenAlex

Transgender voice and communication is an emerging area of practice within the scope of speech-language pathology. The evidence that informs this practice is still sparse, but is rapidly expanding. To support clinicians, the Voice and Communication Standing Committee of the World Professional Association for Transgender Health (WPATH) has recently prepared a document that summarizes the evidence-based literature up to 2013 and offers suggestions to guide clinical practice. This paper is a brief outline of that document, which will be available in an upcoming issue of the International Journal of Transgenderism and also, free of charge, on the WPATH website at http://www.wpath.org .

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0610.038

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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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
GenreCommentary

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

Citations4
Published2015
Admission routes1
Has abstractyes

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