Un/Authorized Exhibits: Elegiac Necropolitics in Renée Sarojini Saklikar’s children of air india
Bibliographic record
Abstract
Renee Sarojini Saklikar’s children of air india is a book which takes as its subtitle “un/authorized exhibits and interjections,” well aware of its position as public dirge, un/official archive of voices and names, and interruptive document to the official story of Air India Flight 182. Official accounts foreground the facts: there were 331 people -- including 280 Canadian citizens of South Asian heritage, 82 of whom were children under the age thirteen -- who died when a bomb exploded on that plane off the south-west coast of Ireland on June 23, 1985. The “un/authorized exhibits and interjections” of the text and its embedded grief politics are championed by an oppositional figure of a female mourner in public space as a critic of postmodernist “despairing rationalism,” much as philosopher Gillian Rose discusses in her elegantly-titled Mourning Becomes the Law (7). Rose asserts that the law, if it is still the law that serves the citizenry and not an ideology that serves itself, has no other ethical choice but to acknowledge this truth: female mourners, by insisting on mourning as an act of justice, “reinvent the political life of the community” (35). The literary and other artistic manifestations of such mourning duty, and the philosophical injunctions to challenge and trouble the law through persistent mourning, are central to the project that drives children of air india : to “write the names all the way through” (Saklikar 113).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".