Finding Educommunication: In Search of Praxis in Canadian Educologies
Bibliographic record
Abstract
Confronting increasingly challenging issues of inequality, disinformation, data surveillance, digital transformation, and globalization requires an informed and engaged citizenry. United Nations documents provide guidance to address the need for media empowerment in the ecology of everyday citizenship. Research suggests the necessity for open public spaces as locations for dialogue and communication. Educommunication , found predominantly within Latin American media education ecologies, may offer a path towards global engagement for promoters of critical media education. The concept of educommunication is examined and contrasted to the conception of critical media literacy. Connections to faculties of education as sites “of the people” are proposed. Results from a preliminary scan across Canadian educational spaces, focusing on connections to teacher education, are shared. This chapter concludes with an invitation to national and international dialogues about educommunication and critical media education to support the development of informed, attentive, and active media citizenship within teacher education programs as an essential contributor to a civic society.
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.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.037 | 0.038 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".