Methodological Options for Reading a Narrative of Collaboration Online in Canadian Education
Bibliographic record
Abstract
This study considers three methodological orientations for reading the narrative of collaboration taken root in contemporary discussions around publicly funded education in Canada. It looks through and beyond conflict theory and an archaeological historical approach and turns to a discursive method well suited to close analysis of recorded, text-based exchanges. Selecting discursive psychology and conversation analysis as preferred interpretive tools, it samples an exchange from an institutional interaction between a researcher, a teacher, and two parents in an online discussion forum. The analysis highlights the multiplicity of agendas and work generated across stakeholders by what is ostensibly one shared goal. Key words: minority parents, Canadian schools, online, discursive psychology, conversation analysis Cette étude examine trois orientations méthodologiques pour interpréter le récit sur la collaboration qui s’est enraciné dans les discussions contemporaines portant sur l’éducation publique au Canada. L’étude part de la théorie des conflits et regarde au-delà de celle-ci, passe par une approche historique archéologique pour se tourner vers une méthode discursive bien adaptée à une analyse approfondie des échanges textes enregistrées.d Ayant privilégié la psychologie discursive et l’analyse des conversations comme outils d’interprétation, l’étude se penche sur un échantillon consistant en une interaction institutionnelle entre un chercheur, un enseignant et deux parents sur un forum de discussion en ligne. L’analyse fait ressortir la multiplicité de programmes et le travail généré par les parties prenantes vers ce qui est présenté comme étant un objectif partagé. Mots clés: parents minoritaires; écoles canadiennes; en ligne; psychologie discursive; analyse des conversations
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.055 | 0.053 |
| Scholarly communication | 0.031 | 0.014 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".