Bibliographic record
Abstract
SAVAC (South Asian Visual Arts Centre) presents a series of programming to mark a decade of critical and innovative experimental film and video. Over the past 10 years, Monitor: South Asian Experimental Film + Video has explored the transnational currents depicting the varied linguistic, social and historical landscapes that define the South Asian subcontinent. Shai Heredia, founder of Experimenta (India’s first experimental film festival), has curated Monitor Reruns, an exhibition that draws from the Monitor archives. \n \nIn partnership with A Space Gallery and Images Festival, Monitor Reruns brings together five Canadian artists whose works represent the last decade of Monitor. Engaging with themes ranging from personal narratives of trauma to accounts of colonial history, migration and queerness, the artists have written a reflective text to accompany the re-installation of their films/videos. \n \nMonitor Reruns traces the political and aesthetic shifts in South Asian film and video in Canada, from the sixties to the present, interrogating whether geographical boundaries are a location, a philosophy, an identity, or something else entirely. \n \nFeaturing works by Nurjahan Akhlaq, Ayesha Hameed, P. Manasaram, Vivek Shraya & The Torontonians. \n \nFire Fences and Flight by Ayesha Hameed, 2007 (5 minutes 10 seconds). Hameed’s video is an essayistic take on two fire-fueled events in Europe that reveal folly in policy matters, and the timeliness of public dissidence in reaction to a troubled immigrant condition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.413 | 0.090 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".