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Record W3196118364 · doi:10.3138/cbmh.473-102020

Neo-Traditional Medicines: Ethnographic Contributions to Conceptual Definition

2021· article· en· W3196118364 on OpenAlexvenueno aff
Pedro Crepaldi Carlessi, José Ricardo de Carvalho Mesquita Ayres

Bibliographic record

VenueCanadian Journal of Health History · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationArgumentativePromotion (chess)SociologyEthnographySociology of scientific knowledgePublic healthPublic domainHealth careDistancingPublic relationsPolitical scienceMedicineSocial scienceCoronavirus disease 2019 (COVID-19)NursingPoliticsLawDisease

Abstract

fetched live from OpenAlex

Since the end of 1970, the World Health Organization has encouraged the development of public policies that expand the approach to care and the therapeutic possibilities offered by its member states beyond technoscientific health care. In Brazil, the institutionalization of this approach is related to the promotion of popular and traditional knowledge associated with the usage of medicinal plants. With this convergence as an argumentative horizon, in this ethnography we examine the institutionalization of pharmaceutical services that have become known in Brazilian public health policy as living pharmacies. This term has been mobilized throughout the history of phytotherapy in Brazil and refers to the possibility of instituting the use of medications that expand care approaches and problem resolution possibilities beyond the domain of the biomedical sciences, evoking alliances with so-called traditional and popular knowledge and practices. For this, we propose and discuss the concept of neo-traditional medicines as a comprehensive-interpretative category, verifying the approximation and distancing points assigned to it in contemporaneous anthropological literature. Beyond the domain of science over other fields of knowledge, we argue in favour of this category in order to present new arrangements and social dynamics that define Brazil’s medication policies.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.129
GPT teacher head0.272
Teacher spread0.144 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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