The view from within: A (counter)visual essay at the window of the Indian university
Bibliographic record
Abstract
‘The view from’ is a phrase that frames many scholarly texts offering perspective from vantage points on to matters and spaces of import to communities of readers. As a counter-visual methodology of (op)position(ality) and standpoint, a series of images are placed in dialogue with those of James Siegel’s Academic Work: The View from Cornell (1981) and Jacques Derrida’s The Principle of Reason: The University in the Eyes of its Pupils (1983). The photographs — composed in 2024-5 primarily from within the workspaces of women academics in Indian institutions — are of their windows to the (campus) world. The quotidian window is given central place, as the limen at which socially marginalised critical scholars have sensed and enacted resistance to the dangers of distance and of place within ‘the university’. The window device is useful as a counter-visual approach critical of the underlying scopic regimes and technologies of the modern university, when set alongside (in)sights from the participating academic citizens’ life histories, which provide rearview recollections of struggles with visibility and with visuality. In this presentation, I share from the second part of a journal paper currently under review, about 'the views from within'.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".