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Record W2747839795 · doi:10.14506/ca32.3.06

The Wild Indoors: Room-Spaces of Scientific Inquiry

2017· article· en· W2747839795 on OpenAlexfundno aff
Ann H. Kelly, Javier Lezaun

Bibliographic record

VenueCultural Anthropology · 2017
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsnot available
FundersEconomic and Social Research CouncilYork UniversityWellcome TrustHarvard University
KeywordsCounterpointDialecticEthnographyBiosecurityEpistemologySpace (punctuation)SociologyAestheticsAnthropologyMedicinePedagogyLinguisticsPhilosophyPathology

Abstract

fetched live from OpenAlex

This article examines three locations where entomologists engage in the experimental observation of mosquitoes: the insectary, the semifield station, and the outdoors. We approach each of these settings as creating a distinct mode of interiority, a particular room-space. This concept resets the investigative encounter in terms of an aesthetic of attention, and offers a counterpoint to the ideals of control and containment that dominate biosecurity understandings of infectious disease research. An ethnographic foray into the compositional logics of entomological experiments serves to illuminate the dialectics of caring and killing that characterize scientific inquiry into animals that pose a public health risk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.043
Scholarly communication0.0110.011
Open science0.0020.011
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.074
GPT teacher head0.405
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations24
Published2017
Admission routes1
Has abstractyes

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