Anti-Colonial Orientations to Place: Unsettling Encounters with South African Educational Landscapes
Bibliographic record
Abstract
The authors bring together decolonial, place attuned, and critical posthumanist orientations to analyze an event during a residential workshop organized as part of a state-funded research project on decolonizing early childhood discourses in South Africa. An invitation during the workshop to grapple with what might be unsettling by attending to the agency of the more-than-human world and its entanglement with unequal human geographies of place, generated a diffractive photographic image and unsettling stories as a group of early childhood teachers and educational researchers kept re-turning to the data. Working with Barad’s methodology of temporal diffraction as apparatus, we discursively and visually trace entanglements that emerged from this data. We conclude on the mattering of this work for engaging with the potentials and tensions of attending to the more-than-human within highly asymmetrical human relations in the settler colonial context of South African education.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.060 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".