MétaCan
Menu
Back to cohort
Record W2990441607 · doi:10.1111/maq.12561

Sowa Rigpa Humanitarianism: Local Logics of Care within a Global Politics of Compassion

2019· article· en· W2990441607 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Anthropology Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversity of Toronto
FundersShastri Indo-Canadian Institute
KeywordsCompassionBuddhismPoliticsMainstreamSociologyContext (archaeology)Environmental ethicsHumanitarian aidMeaning (existential)EthnographyMedical ethicsPolitical scienceLawAnthropologyEpistemologyPhilosophyHistory

Abstract

fetched live from OpenAlex

This article examines the circulation of humanitarian ideas, materials, and actions in a non-biomedical and non-Judeo-Christian context: Sowa Rigpa or Tibetan medical camps in India and Nepal. Through these camps, practitioners and patients alike often overtly articulate Sowa Rigpa medicine as part of a broader humanitarian "good" motivated by a Buddhist-inflected ethics of compassion and a moral economy of care, diverging from mainstream public health and conventional humanitarian projects. Three ethnographic case studies demonstrate how micro-political interactions at camps engage with ethical and religious imaginaries. We show how the ordinary ethics of Sowa Rigpa humanitarianism gain distinct political meaning in contrast to non-Tibetan forms of aid, reconfiguring the relationship between Buddhism, essential medicines, moral economies, and politics. While Sowa Rigpa as a medical system operates transnationally, these camps are organized around local logics of emergent care, employing narratives of "charity" and Buddhist compassion when addressing health needs.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.012
GPT teacher head0.322
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it