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Record W1521584465

From Primitive Rebels to How to Change the World : Reflections on Two Periods in Anthropology and History

2011· article· en· W1521584465 on OpenAlexaffvenueabout
Gavin Smith

Bibliographic record

VenueLabour / Le Travail · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsPeasantLatin AmericansCitizenshipCommoditySociologyComparative historyPolitical scienceAnthropologyEconomic historySocial scienceEconomyHistoryLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Gavin Smith has taught anthropology at the University of Toronto since 1975, becoming a full professor in 1986 and reaching official retirement in 2010. He has also been a visiting scholar at the University of Barcelona and is currently co-editor of Focaal: Journal of Global and Historical Anthropology, a journal published in the Netherlands. Although his discipline is officially that of anthropology, Smith can be considered more broadly as an intellectual of the left, always integrating his anthropological research with social history and political economy. At the forefront of Smith’s intellectual concerns are political protest and forms of production, subjects he explored in both highland Peru and the shantytowns of Lima in 1972–3 and again in 1981. In 1978–79 he took his interest in petty commodity production and the history of property and labour relations to Valencia, Spain and later did extensive comparative work in Spain, France, and Italy on the relationship between capitalist production processes, the informal economy, regionalism, and politics. Ever moving with the times, his more recent work has explored the role of the European Union and other regulatory regimes in shaping both knowledge about Western Europe and the processes of production, memory, citizenship, and place-making on the ground. Widely published in such important venues as the Journal of Peasant Studies, Critique of Anthropology, and other Canadian and Latin American presentation / presentation

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.070
GPT teacher head0.267
Teacher spread0.197 · 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 designObservational
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

Citations0
Published2011
Admission routes3
Has abstractyes

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