Missed Nuances in Tuberculosis Research: Reflections from a Tibetan Scholar
Bibliographic record
Abstract
Acknowledging and valuing the lived experiences of scholars from the Global South is crucial for more nuanced, refined, and equitable approaches to and interpretations of research. The sheer lack of Tibetan scholars authoring and leading studies within the Tibetan diaspora is especially concerning. The paucity of Tibetan scholars in tuberculosis (TB) discourse is a marker and product of the colonization of academic global health and of global inequities in opportunity and credibility. The lack of Tibetan voices, advocates and scholars alike, in the TB discourse creates ambiguities and misinterpretations, and a general unwillingness to dig deeper into the social, cultural, economic, and historical contexts under which TB thrives in this community. It also symbolizes the lack of opportunity faced by many scholars based in the Global South. Efforts to decolonize global health must also parallel efforts to address other related injustices.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".