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Record W3010986557 · doi:10.1111/bjet.12928

Intra‐active entanglements: What posthuman and new materialist frameworks can offer the learning sciences

2020· article· en· W3010986557 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBritish Journal of Educational Technology · 2020
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsMount Saint Vincent University
FundersBrock UniversityMount Saint Vincent UniversityUniversity of LouisvilleVerizon
KeywordsPosthumanMaterialismPosthumanismSociologyEpistemologyRealismConstructionismPhilosophy

Abstract

fetched live from OpenAlex

Abstract This paper examines what new materialist and posthumanist frameworks can offer learning science research in diverse maker learning environments. We explore what is gained by grappling with the entanglements between humans, non‐humans and more‐than‐humans. To do this, we draw on Karen Barad's ethico‐onto‐epistemology and agential realism where she redefines connections to the shared world by attuning to the entangled matter that is created within intra‐actions. We use this framework across four international cases: digital media camps, a university‐level classroom‐based makerspace, a Saturday outdoor makerspace workshop and a classroom‐based museum makerspace. Each case study attends to how intra‐actions enact agential forces in maker education research—forces that posthuman and new materialist frameworks help us see. In so doing, these case studies challenge many of the assumptions prevalent in the learning sciences about mattering and its implications in research sites.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.025
GPT teacher head0.302
Teacher spread0.277 · 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