Creating On Method: Translating Scholarly Research on Methods
Bibliographic record
Abstract
On Method is a collaborative knowledge-translation project that combines critical pedagogy with arts and independent-filmmaking production strategies to develop compelling video content for researchers. In this article, the authors analyze four key principles of research translation contributing to the successful creation of On Method, a nine-episode video textbook that explores key concepts and approaches in qualitative methods. The principles include how to assemble a strong team; how iteration works in this context; the collaborative nature of the process; and building content for varied audiences. On Method aims to update previous media-based approaches to education by showcasing a primarily virtual production process that generated rich content to attract media-savvy audiences to a consideration of qualitative methods in the digital sphere and to build critical thinking in the public sphere. RÉSUMÉ On Method est un projet collaboratif d’application des connaissances qui associe la pédagogie critique à des stratégies de production artistique et cinématographique indépendante afin de développer un contenu vidéo qui soit attirant pour les chercheurs. Dans cet article, les auteurs analysent quatre principes clés de l’application de la recherche qui ont contribué à la réussite de On Method, un manuel vidéo en neuf épisodes qui explore les principaux concepts et approches des méthodes qualitatives. Ces principes sont : la constitution d’une équipe solide, l’utilité de l’itération dans ce contexte, la valeur d’une approche collaborative, et la création d’un contenu ciblant des publics variés. La série On Method vise à mettre à jour les approches médiatiques antérieures envers l’éducation en se fondant sur un processus de production essentiellement virtuel qui a généré un contenu riche dans le but de motiver les publics versés dans les médias à réfléchir sur les méthodes qualitatives dans la sphère numérique. On Method vise en outre à contribuer à la pensée critique dans la sphère publique.
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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 | 0.110 | 0.166 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".