Bibliographic record
Abstract
This documentary fiction builds on lived experiences in the borderland district of Poonch, in the contested region of Jammu and Kashmir, administered by India along the contested border with Pakistan. The short story draws on fieldwork conducted between 2018 and 2020 as part of my PhD thesis and for an article published in this journal. The characters and events in the essay are fictional but inspired by real-life people and history, based on informal conversations, unused data collection, and other reflections from the field that did not make it into my academic work. An inspiration for this approach is the writing of Gloria Anzaldua on the US–Mexico border. Her reflections demonstrate that lived experiences need not always fit established academic and disciplinary boundaries. Subjective narratives around partition and separation cannot be contained by any one disciplinary framework. The trauma, yearning, and loss within these experiences are so multifaceted that they can be expressed through various writing styles. It is time, I believe, that borderland studies encourage interpersonal accounts in disciplinary inquiries, following some of the steps taken in sociology and social anthropology.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".