Humanising higher education in South Africa through dialogue as praxis
Bibliographic record
Abstract
Freire (1993) premised his pedagogical theory on the assumption that humanisation is the fundamental objective of education, and he emphasised the role of dialogue as praxis in achieving this. In South Africa, race has played a constitutive and dehumanising role in higher education since its beginnings during colonialism and apartheid (Soudien, 2015, 2016). During 2014 and 2015, higher education in South Africa came under attack from various student organisations for alleged discrimination, racism, and exclusive practices. We propose two conditions for dialogue as humanising praxis in higher education: the acknowledgement of situated selves, and the ontological need for, and right to, voice. We conclude that these conditions are interrelated and point to the possibilities of humanising post-1994 higher education. We use qualitative data from the NRF-funded project, Human rights literacy: a quest for meaning (Roux & du Preez, 2013) to explore student teachers' experiences of implicit and explicit exclusion, racism, and discrimination at institutions of higher education in South Africa.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.032 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".