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Record W2897513354 · doi:10.1093/applin/amy046

The Onto-Epistemologies of New Materialism: Implications for Applied Linguistics Pedagogies and Research

2018· article· en· W2897513354 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 · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaterialismEpistemologySociologyApplied linguisticsPerspective (graphical)Relation (database)OntologyLinguisticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract The Douglas Fir Group (2016) argued that applied linguistics needed new interdisciplinary perspectives, and I suggest here that the concepts provided by new materialism might aid in gaining such perspectives. New materialism foregrounds the material nature of humans, discourses, machines, other objects, other species, and the natural environment, as well as constant change, non-binary thinking, and the porosity of boundaries; it also asks for the posing of new problems and new concepts to ‘bring forth a world distinct from what we already are’ (Colebrook and Weinstein 2017: 4). Refusing the central binaries and hierarchies of Cartesian thinking, new materialism’s relational ontology stresses becoming; people, discourses, practices, and things are continually in relation and becoming different from what they were before. New materialist conceptions of knowledge/knowing and language/languaging are also relational, processual, and entangled. I review recent new materialist educational research and present two descriptions of events in my own research to show what pedagogical and research-oriented questions might be stimulated from this perspective.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.150
GPT teacher head0.403
Teacher spread0.253 · 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