Creating the new journalism classroom for a future in the balance: A not so modest proposal for a pedagogy of care, dialogue and critique
Bibliographic record
Abstract
Informed by the work of Paulo Freire, bell hooks, Amilcar Cabral and Grace Lee Boggs, this paper considers the role a journalism education rooted in the liberal arts can play in the age of climate change and COVID-19.By pursuing such an educational path, journalism students can acquire the requisite skills to thrive in a professional newsroom, while contributing to the sustainability of life on earth.The journalism classroom can become a place of imagination which militates against feelings of alienation.It can become a site of solidarity, compassion, and freedom dreams.It is in the classroom where journalism students can learn to question fearlessly, listen deeply, and recognize the value of the stories and critiques of their classmates and instructors.By employing a dialogical method of teaching committed to ending all forms of domination and grounding a pedagogy of care, a classroom ethos can be cultivated that will affirm and restore the humanity of students wounded by the ravages of a global pandemic and change a world in peril.
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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 | 0.021 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.043 |
| Scholarly communication | 0.023 | 0.025 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".