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A new form of collaboration in cultural anthropology: Matsutake worlds

2009· article· en· W2068108437 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

VenueAmerican Ethnologist · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of TorontoSimon Fraser University
Fundersnot available
KeywordsContingencyEthnographySociologyPower (physics)Subject (documents)EpistemologyAnthropologyKnowledge productionKnowledge managementComputer sciencePhilosophyLibrary science

Abstract

fetched live from OpenAlex

ABSTRACT Experiments in collaboration open new investigative possibilities for cultural anthropologists. In this report, we use our research on matsutake mushrooms to show the promise of collaborative experiments for ethnographers of scale making, global connection, and human–nonhuman relations. Anna Tsing introduces. Mogu Mogu (Timothy Choy and Shiho Satsuka) argue that the mushroomic figure of mycorrhizal life illuminates workings of capital and power, nature and culture. Lieba Faier examines contingency—through the effect of weather and bugs on matsutake production—as a form of self‐positioning that emerges from local understandings of connection. Michael Hathaway uses postcolonial science studies to examine the transnational production, flow, and transformation of scientific knowledge about matsutake. Miyako Inoue discusses the anthropological subject that emerges through the kind of collaboration envisioned and practiced by the Matsutake Worlds Research Group. [ collaboration, postcolonial science studies, multisited ethnography, naturecultures, contingency, knowledge production ]

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.396
Teacher spread0.365 · 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