Stitching a new garment: Considering the future of the speech–language therapy profession globally
Bibliographic record
Abstract
Providing equitable support for people experiencing communication disability (CD) globally is a historical and contemporary challenge for the speech-language therapy profession. A group of speech-language therapists (SLTs) with ongoing and sustained experiences in Majority and Minority World contexts participated in five virtual meetings in 2021. The aim of these meetings was to develop provocative statements that might spur a global discussion among individuals and organisations that support people experiencing CD. The following questions were discussed: What is our vision for the future of the profession globally? What are the global challenges around access to speech-language therapy services?Four main themes emerged: (1) the need to centre people experiencing CD as the focal point of services, (2) participation, (3) equity and (4) community. The themes relate to the need for a process of de-imperialism in the profession. Suggestions were made to develop more suitable terminology and to establish a global framework that promotes more equitable access to communication services. We seek the adoption of approaches that focus on reciprocal global engagement for capacity strengthening. Alternative models of culturally sustaining and equitable service delivery are needed to create impact for people experiencing CD, and their families worldwide.Contribution: Provocative statements were developed to prompt global conversations among speech-language therapy professionals and associations. We encourage readers to consider the questions posed, share their viewpoints and initiate positive change towards a global strategy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.017 | 0.022 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".