Bibliographic record
Abstract
In this performative play without speech, the author demonstrates the various acrobatic negotiations she makes in her everyday life as a transnational feminist educational researcher who was born in India, raised in Canada, and educated and employed in higher education in the U.S. The author uses silence as a space of reflection, resistance, adaptation, retreat, and freedom in order to challenge the duality of silence and voice where silence is seen as the absence of voice. The author presents her negotiations in academia as a set of acrobatic moves in response to her everyday circumstances. She also demonstrates that for her home is always a shifting concept that continues to force her to shuttle between multiple national identities. The author uses the works of Kamala Visweswaran and Inderpal Grewal to theorize nomadic, diasporic, and transnational subject positions and ways in which silence and voice function. Using the form of silence as a performance, the author invites readers to find their own entry points of identification, resistance, and points that transcend both identification with and resistance to the scenes with which she works, works out, and plays.
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".