Theories for social justice and reduction of inequalities: a review of freirean communications
Bibliographic record
Abstract
This paper assesses the contributions of Paulo Freire to communication theories, drawing upon a search for communication theory literature on the database Communication and Mass Media Open and the conglomerate source Encyclopedia of Communication Theory. Four encyclopedia entries are reviewed alongside 22 articles. Often identified as an education theorist, Freire and his contributions to the interdisciplinary field of communication can be seen in relation to international development; sign-language interpretation; communication ethics; public communication; culture; mass media; among others. Several studies are conducted in non-Western countries, with a notable focus on multicultural communication toward peace-building and cultural harmony. Additionally, severe social justice issues which involve violation of basic human rights are documented in two indigenous studies. Eight new theory-making papers are identified, in which Freirean theory is mobilized to support communication theory-building. The intersectional and multicultural nature of Freirean theory emerges as leading to diverse applications in social justice, and the review outlines six key Freirean concepts which recur in existing communication theories and studies: dialogue; praxis; banking model; problem-posing; critical consciousness; and emancipation. How each of these concepts are mobilized to guide theorizing in the field of communication are summarized, toward supporting future work in communication as social justice practice.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".