‘Space is weird…’: contemplative-drifting with student archives as place-based-pedagogy
Bibliographic record
Abstract
The Homecoming(s) Project explores a university campus and archives through the application of a hybrid walking-methodology. Having previously applied Nicolás Núñez's contemplative tools alongside solo dérive-inspired practices, the author invites a team of undergraduate researchers to explore the practices’ potential pedagogical applications. Student reflections attest to a re-grounding of experience, learning and research in a dynamic ethic of reciprocity. With these reflections in mind, the article discusses the opportunities for contemplative-critical walking to generatively disrupt the logics of the western archive and one's assumptions of relationship to place. The improvisatory approach of the project provides an embodied and reflective framework which reveals the potential incommensurability between Eurocentric walking-methodologies which foreground reciprocity and their application as tools towards redressing ones’ colonial inheritances.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.033 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".