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Record W4233207920 · doi:10.22215/etd/2014-10577

Examining the Construct of Proficiency in a University's American Sign Language (ASL) Program: A Mixed-Methods Study

2014· dissertation· en· W4233207920 on OpenAlexaffabout
Josee-Anna Tanner

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsCarleton University
Fundersnot available
KeywordsAmerican Sign LanguageConstruct (python library)Context (archaeology)Language proficiencyPsychologyMathematics educationSign (mathematics)Sign languageLinguisticsComputer scienceGeographyMathematics

Abstract

fetched live from OpenAlex

American Sign Language (ASL) has become increasingly popular as a second language option at universities and colleges in North America. While a growing number of hearing, adult learners are enrolling in ASL classes, this has not been paralleled (yet) by an equal development in ASL research. There has been insufficient investigation into what constitutes ASL proficiency development and how proficiency can be validly and reliably assessed for this group of learners. This mixed-methods study explores the ASL program at a Canadian university. It investigates the construct of proficiency from three angles: instructors' understanding and definitions of ASL proficiency; how student proficiency is determined through current assessment practices and; student responses to assessment practices. Results of this study suggest that in this context ASL proficiency is not clearly defined. Without a clear construct definition, what current ASL assessments are actually measuring is unknown, and consequently may not be providing valid results.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.411
Teacher spread0.379 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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

Citations2
Published2014
Admission routes2
Has abstractyes

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