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Record W4285389729 · doi:10.1075/ld.00128.sca

Interpreter-mediated communication in cognitive assessments and psychotherapy

2022· article· en· W4285389729 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

VenueLanguage and Dialogue · 2022
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsSimon Fraser University
FundersKasetsart University Research and Development Institute
KeywordsInterpreterConversationInterpretation (philosophy)Intercultural communicationPsychologyCognitionConversation analysisPoint (geometry)PsychotherapistCognitive psychologyLinguisticsComputer sciencePedagogyCommunication

Abstract

fetched live from OpenAlex

Abstract Our paper investigates interpreter-mediated communication as intercultural dialogue in psychotherapy and assessments of cognitive functioning. We rely on previously published data to demonstrate the characteristics of communication in this setting and point to challenges relating to the validity of the assessments and to the efficacy of therapy. Using analytic tools from Conversation Analysis and Discourse Analysis, we specifically investigate how interpretation affects the interactional trajectory of communication, how interpreters manage both cultural and epistemic differences between the primary participants, how they deal with potential threats to the patient’s face and how they overall facilitate intercultural dialogue. We discuss concerns about the outcome of tests achieved in these circumstances and the challenges and potentials of interpretation in therapy.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.462
Teacher spread0.411 · 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