Anthropologies of Cancer in Transnational Worlds
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.
Bibliographic record
Abstract
Cancer is a transnational condition involving the unprecedented fl ow of health information, technologies and people across national borders. Such movement raises questions about the nature of therapeutic citizenship, how and where structurally vulnerable populations obtain care, and the political geography of blame associated with this disease. This volume brings together cutting-edge anthropological research carried out across North and South America, Europe, Africa and Asia, representing low-, middleand high-resource countries with a diversity of national health care systems. Contributors ethnographically map the varied nature of cancer experiences and articulate the multiplicity of meanings that survivorship, risk, charity and care entail. They explore institutional frameworks shaping local responses to cancer and underlying political forces and structural variables that frame individual experiences. Of particular concern is the need to interrogate underlying assumptions of research designs that may lead to the naturalizing of hidden agendas or intentions. Running throughout the chapters, moreover, are considerations of moral and ethical issues related to cancer treatment and research. Thematic emphases include the importance of local biologies in the framing of cancer diagnosis and treatment protocols, uncertainty and ambiguity in defi nitions of biosociality, shifting defi nitions of patienthood, and the sociality of care and support.
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 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 | 0.000 | 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 | 0.000 | 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 it