Literacy in the post-truth era: The significance of affect and the ethical encounter
Bibliographic record
Abstract
Education has a responsibility to respond to the threat of deteriorating democracies. The post-truth era is marked by an erosion of trust in public institutions and extreme polarisation. This paper begins with an examination of the ways by which current literacy and media literacy education is not simply outmoded, but also limited by a grounding in neoliberal conceptions of rationality and individualism. Offering a counterpoint to the status quo, and foregrounding the significance of affect, I work with Levinas’s conception of ethics (1979 Levinas, E. (1979). Totality and infinity: An essay on exteriority. (trans: Alphonso Lingis). Duquesne University Press.[Crossref] , [Google Scholar], 1989 Levinas, E. (1989). The Levinas reader. (ed. S.). Basil Blackwell. [Google Scholar]) to illustrate the tensions between affective reactionism and non-intentional affectivity, enjoyment and its disruption as a premise for intersubjectivity, and contrasting manifestations of anger. I conclude the paper with a proposal for literacy education that comprises intentional focus on relationality, responsibility, and affect.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.053 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".