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Record W2612488418 · doi:10.1515/applirev-2017-0030

Interaction in qualitative questionnaires: From self-report to intersubjective achievement

2017· article· en· W2612488418 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

VenueApplied Linguistics Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyContext (archaeology)CategorizationVariety (cybernetics)Set (abstract data type)Descriptive statisticsConversationConversation analysisArchetypeIdentity (music)Social psychologyLinguisticsComputer scienceCommunicationArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Survey questionnaires are among the most widely-used research methods in applied linguistics, adopted for everything from large-scale quantitative studies measuring social-psychological variables to qualitative studies that solicit participant views on a range of different topics. Despite the variety of purposes that survey questionnaires are used for, the most common approaches to analysis of the data they yield involve content analysis using descriptive or inferential statistics and/or enumeration of emergent themes. The study reported in this article conceives of questionnaire data in notably different terms: as occasioned (conditionally-relevant responses sequentially-projected by a question), recipient-designed (devised for the research context and researcher), and thus, as thoroughly interactional phenomena (Drew 2006; Sacks 1992). The study examines the identity construction of French as a second language (FSL) teachers on a professional development sojourn in France, drawing on a data-set in part comprised of participants’ open-ended responses to a 48-item questionnaire concerning whether their “confidence as French language teachers” increased as a result of their involvement in the sojourn. However, rather than conceiving of participants’ answers as revelations of changes in their interior states, the study draws on insights from conversation analysis and membership categorization analysis to examine how “confidence” was recruited as a discursive resource to “do being” a particular kind of L2 French teacher. We demonstrate how the presence and problematics of a (French) native-speaker archetype for the FSL teachers was in part formulated through close analytic attention to both the sequential and categorial features of researcher/respondent interactions occasioned by one open-ended response item in the questionnaire. This alternative approach to analyzing questionnaire data offers important insights about L2 teacher identity. It also addresses more fundamental questions concerning the discursive and interactional basis of ostensibly non-interactional research methods like survey questionnaires. Additionally, the insistence on an explicit methodological framing of the research process promotes greater theoretical and methodological consistency, and of particular importance, a significantly expanded conception of and accounting for researcher reflexivity.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
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 head0.087
GPT teacher head0.416
Teacher spread0.329 · 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