Dialogic & Critical Pedagogies: An Interview with Ira Shor
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.
Bibliographic record
Abstract
In 2016, the Main Editors of Dialogic Pedagogy Journal issued a call for papers and contributions to a wide range of dialogic pedagogy scholars and practitioners. One of the scholars who responded to our call is famous American educator Ira Shor, a professor at the College of Staten Island, City University of New York. Shor has been influenced by Paulo Freire with whom he published, among other books, “A Pedagogy for Liberation” (1986), the very first “talking book” Freire did with a collaborator. His work in education is about empowering and liberating practice, which is why it has become a central feature of critical pedagogy.Shor’s work has touched on themes that resonate with Dialogic Pedagogy (DP). He emphasises the importance of students becoming empowered by ensuring that their experiences are brought to bear. We were excited when Shor responded to our call for papers with an interesting proposal: an interview that could be published in DPJ, and we enthusiastically accepted his offer. The DPJ Main Editors contacted the DPJ community members and asked them to submit questions for Ira. The result is an exciting in-depth interview with him that revolved around six topics: (1) Social Justice; (2) Dialogism; (3) Democratic Higher Education; (4) Critical Literacy versus Traditional Literacy; (5) Paulo Freire and Critical Pedagogy; and (6) Language and Thought. Following the interview, we reflect on complimentary themes and tensions that emerge between Shor’s approach to critical pedagogy and DP.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it