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Record W1995261195 · doi:10.1080/00938157.2012.732514

Mobile Humanity: The Delocalization of Anthropological Research

2012· article· en· W1995261195 on OpenAlexaff
Antonio Sorge, Andrew Roddick

Bibliographic record

VenueReviews in Anthropology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEthnographySociologyHumanityAnthropologySpace (punctuation)CentralityPolitical science

Abstract

fetched live from OpenAlex

Anthropological research in recent decades has become increasingly multi-sited, envisioning the local as an iteration of world-systemic processes, and following the movement of people, things and ideas across the typical boundaries of sites. This review essay examines four edited volumes concerned with such mobility and dislocation. The cultural anthropological volumes engage with the strengths and perceived weaknesses of multi-sited ethnography, the advantages of following people and themes across space, and the definition of sites by topic rather than by place. The archaeological collections move beyond typologies that have constrained archaeological investigations of movement through the study of the material practices that constituted social landscapes of mobile and settled peoples. Although the reviewed volumes offer important methodological distinctions and theoretical engagements, all four provide numerous ethnographic and ethnoarchaeological views of the delocalization of anthropological research, including claims for the utility of collaborative partnerships, the following of paths across space and time, and the reconsideration of the fixity and centrality of contemporary, historic and prehistoric places.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.015
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.265
GPT teacher head0.519
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2012
Admission routes1
Has abstractyes

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