MétaCan
Menu
Back to cohort
Record W4413174661 · doi:10.1007/s11858-025-01719-7

Processes of subjectification: positioning, power, and emotions in the mathematics classroom

2025· article· en· W4413174661 on OpenAlex
Isaías Miranda, Luis Radford, Rodolfo Vergel, Ulises Salinas-Hernández

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

VenueZDM · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSubjectificationPower (physics)Mathematics educationPsychologyLinguisticsPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract During teaching-learning activities, students and teachers engage in complex interactive and intersubjective processes in which both co-position each other. These processes, which, in the theory of objectification, are called processes of subjectification, are conceived as agentic processes of a cultural-historical nature. From these processes, teachers’ and students’ verbal and corporal language and emotions emerge in close relationship with how knowledge and cultural values promoted by the school are manifested. In this article, we analyze the processes of subjectification of a group of Mexican high school students during a sequence of mathematics classes in which the concept of motion is taught. The video data from the lessons were transcribed and analyzed using a semiotic multimodal dialectical methodology. Our findings provide a deeper understanding of the dialectical relationship between students’ emotions, power, and other various agentic devices that teachers and students resort to in their teaching-learning activity.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.018
GPT teacher head0.277
Teacher spread0.259 · 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