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Record W3215276132 · doi:10.18806/tesl.v38i2.1360

Applying Complex Dynamic Systems Theory to Identify Dynamic Properties of Plurilingual Repertoires

2022· article· en· W3215276132 on OpenAlexvenueno aff
Quinton Stotz, Walcir Cardoso

Bibliographic record

VenueTESL Canada Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationPerceptionPsychologySecond-language acquisitionLinguisticsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Language repertoires have been traditionally construed as a set of chronologically determined compartments (first language, second language, etc.), a scheme which upholds several validity and ethical issues when operationalized in research and education (Ortega, 2019). Complex dynamic systems theory (also complexity theory, here CDST) has been hailed as one solution moving forward, but its applicability to plurilingual settings requires further testing. This exploratory study contributes by examining whether inherent properties of complex dynamic systems manifest in the perceptions that plurilinguals have as their language systems change over time. Using retrodictive qualitative modelling (Dörnyei, 2014), this study discerned the developmental trajectory of changing language systems by working backwards through data collected during an observation window. Over a 3-month period, three plurilingual individuals assessed their language systems through weekly surveys and participated in open-ended interviews. A three-stage phenomenological analysis evaluated the data against CDST’s theoretical prism to identify five CDST properties (attractor states, phase shifts, co-adaptation, self-organization, and emergence) in the participants’ perceptions of their changing repertoires. Results indicate that plurilingual repertoires exhibit the aforementioned dynamics, although evidence for emergence was less certain. Importantly, this study shows that CDST dynamics are discernible in an individual’s perception of their language development over time. Les répertoires langagiers se comprennent traditionnellement comme un ensemble de compartiments déterminés chronologiquement (première langue, deuxième langue, etc.), un mécanisme qui maintient plusieurs problèmes de validité et d’éthique quand il est opérationnalisé dans la recherche et l’enseignement (Ortega, 2019). La théorie des systèmes dynamiques complexes (également appelée théorie de la complexité, ici TSDC) a été acclamée comme une solution pour avancer, mais son applicabilité à des contextes plurilingues devra être testée davantage. L’étude exploratoire suivante apporte sa contribution en examinant le fait de savoir si les propriétés inhérentes aux systèmes dynamiques complexes se manifestent dans les perceptions que les plurilingues ont de leurs systèmes au fur et à mesure que leurs systèmes de langue changent avec le temps. En se servant de la modélisation de la rétrodiction qualitative (Dörnyei, 2014), cette étude discerne la trajectoire de développement de systèmes langagiers changeants en travaillant à l’envers par le biais de données recueillies pendant une fenêtre d’observation. Pendant une période de trois mois, trois personnes plurilingues ont évalué leurs systèmes langagiers au moyen de sondages hebdomadaires et ont participé à des entrevues ouvertes. Une analyse phénoménologique en trois étapes a évalué les données par rapport au prisme théorique de la TSDC afin d’identifier cinq propriétés de la TSDC (l’état d’attractivité, les changements de phases, la co-adaptation, l’auto-organisation et l’émergence) dans la perception que les participants avaient de leurs répertoires changeants. Les résultats indiquent que les répertoires plurilingues démontrent les dynamiques susmentionnées, bien que les preuves de l’émergence soient moins certaines. De façon importante, cette étude montre que les dynamiques de la TSDC sont discernables dans la perception que chaque personne se fait du développement de leur langue avec le temps.

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 categoriesScience 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 score0.530
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.249
Teacher spread0.220 · 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.

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

Citations7
Published2022
Admission routes1
Has abstractyes

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