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Record W2039585895 · doi:10.1080/02687030701282595

Counting what counts: A framework for capturing real‐life outcomes of aphasia intervention

2008· article· en· W2039585895 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

VenueAphasiology · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsToronto Western HospitalUniversity Health NetworkBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsAphasiaContext (archaeology)Intervention (counseling)PsychologyPsychological interventionOutcome (game theory)StakeholderSituatedConceptual frameworkQuality of life (healthcare)Focus groupApplied psychologyComputer scienceCognitive psychologyPsychotherapistPublic relationsSociologyArtificial intelligencePolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Background: The initial motivation was our inability to capture the important but often elusive outcomes of interventions that focus on making a difference to the everyday experience of individuals with aphasia and their families. In addition, a review of the literature and input from stakeholder focus groups revealed the lack of an integrated approach to outcome evaluation across diverse approaches to aphasia intervention. Input from focus groups also indicated that existing classifications and models offering potential solutions are not always easily accessible and user friendly. Aims: We aimed to create a user‐friendly conceptual framework for outcome measurement in aphasia that included a focus on real‐life outcomes of intervention and could be easily accessed by clinicians, researchers, policy makers, funders, and those living with aphasia. We wanted to build on existing work, e.g., that of the World Health Organisation, simplify presentation for accessibility, and make specific adaptations relevant to aphasia. By providing a common context for a broad range of outcome tools or measures, we hoped to enable more efficient and effective communication between and among all stakeholders. Main contribution: Living with Aphasia: Framework for Outcome Measurement (A‐FROM) is a conceptual guide to outcome assessment in aphasia that is situated within current thinking about health and disability. This simple platform can be used to frame and broaden thinking concerning outcome measurement for aphasia clinicians and researchers while enhancing the potential for meaningful communication between the clinical community, policy makers, and funders. By integrating Quality of Life and including domains related to environment, participation, and personal identity in the same framework as impairment, the importance of outcomes in all these areas is acknowledged for aphasia in particular and disability in general. A‐FROM has the potential to be used as an advocacy tool. Conclusions: This article is the first presentation of A‐FROM as an alternate guide to outcome measurement in aphasia. Initial ideas regarding applications are discussed. Further development and applications await input from our community of practice.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.341
Teacher spread0.276 · 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