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Record W6996091013

Psycholinguistic speech processing assessment for adults: 
\nDevelopment and case series
\n

2017· dissertation· en· W6996091013 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

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2017
Typedissertation
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsycholinguisticsSpellingProfiling (computer programming)DyslexiaLiteracyReliability (semiconductor)Reading (process)Test (biology)Speech processing
DOInot available

Abstract

fetched live from OpenAlex

In educational institutions there are a significant number of young adults with speech, language and literacy problems. Nevertheless, due to a lack of assessment tools, difficulties are often not recognised which in turn limits access to possible supports. The specific objective of this study was to develop a comprehensive speech processing skills assessment battery for native English-speaking adults, taking psycholinguistics into account. The assessment tool consists of subtests that assess auditory discrimination of non-words and non-word repetition, reading and spelling of non-words, and spoonerisms with non- and real words. 
\nNormative data from 101 English-speaking adults (age 18-35 years) were collected and analysed in terms of general psychometric properties. Further in depth analyses look at the nature of mistakes and reaction time of participants. Moreover, a case series of participants who stammer (N=6) was conducted to test the speech processing assessment in regards to profiling existing speech difficulties and comparing these profiles to norm data.
\nResults support the establishment of objectivity, validity and reliability of the assessment tool, but also highlight important factors which need to be investigated in more detail. Results concerning the case studies showed individual differences of performances compared to the norm data which can be explained by theoretical knowledge about stammering. 
\nOutcomes encourage the usage of the assessment tool for research (e.g. comparison of speech processing profiles in adults with speech disorders) as well as the possibility of further development for clinical and educational settings (e.g. the development of specific disability support). A next step of this programme of work could be to modify the assessment tool based on analysed outcomes. Moreover, deeper investigation of people experiencing speech difficulties could follow to support the profiling of adults with persistent developmental speech difficulties in, for example, higher education.
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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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.305
Teacher spread0.277 · 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