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Record W2013455896 · doi:10.12697/sss.2013.41.1.07

Qualitative evaluation of semiotic-based intercultural training

2013· article· en· W2013455896 on OpenAlexaff
Roger Parent, Stanley Varnhagen

Bibliographic record

VenueSign Systems Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSemioticsQualitative researchPraxisSocial semioticsSociologyPhenomenology (philosophy)PerceptionFocus groupSemiotics of cultureNarrativeIntercultural communicationPragmaticsEpistemologyPedagogyPsychologySocial scienceLinguisticsAnthropology

Abstract

fetched live from OpenAlex

This second of a two-part series of articles on applied semiotics and intercultural training provides a qualitative evaluation of the research initiative Tools for Cultural Development. The discussion will firstly centre on several theoretical and methodological challenges inherent to the qualitative research paradigm and then relate these shifting concerns to convergent findings in poststructuralist (and postcolonial) semiotics, especially with respect to phenomenology and pragmatics. Analysis of four focus group interviews in France and Australia will examine and evaluate the 2007 training experience in light of the culture-specific contexts and stakeholder groups involved. Of particular concern will be the capacity of qualitative evaluative processes to account for the "local meanings" and "voices" within the trainee narratives so as to highlight their perceptions as to the use of semiotics for designing culturally significant practices in education and praxis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.053
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.069
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0050.007
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.367
GPT teacher head0.412
Teacher spread0.045 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2013
Admission routes1
Has abstractyes

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