Bibliographic record
Abstract
<p>In the article <em>"Call the Crime in Kashmir by Its Name: Ongoing Genocide"</em>, Binish Ahmed analyzes the ongoing violence and oppression in Kashmir by Indian forces, explaining that it constitutes a form of genocide. She highlights systematic human rights violations, including targeted killings, disappearances, and torture, under the guise of India's "national security" measures (more details in the article). Ahmed calls for international recognition of these violences as acts of genocide, emphasizing the urgent need for accountability and justice for the Kashmiri people. </p> <p>Through this work (and others works by her), she contributes to the scholarship on Kashmir by leading the reframing of conflict as an Indigenous self-determination struggle in the global context of settler-colonialism, rather than simply a "territorial" dispute between India and Pakistan. She stresses the importance of using an Indigenous rights framework and UNDRIP to protect Kashmiri rights. </p> <p><br></p> <p>The Conversation published this piece on August 15, 2019.</p>
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".