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Record W2411868835 · doi:10.1111/1467-8322.12253

The <i>longue durée</i> of the Human Terrain: Politics, cultural knowledge and the technical fix

2016· article· en· W2411868835 on OpenAlex
Benjamin D. Hopkins

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

VenueAnthropology Today · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsGovernment of Canada
Fundersnot available
KeywordsLegitimacyPoliticsCorporate governanceTerrainField (mathematics)Political scienceSociologyEnvironmental ethicsAnthropologyLawGeographyManagementPhilosophyCartography

Abstract

fetched live from OpenAlex

The recent end of the Human Terrain System run by the US Army has brought to a close one of the most recent insidious challenges to the field of anthropology. But while the anthropological elements of the programme have been well documented, and contested, its historical roots have not. The HTS and cultural knowledge apparatus of the American defence establishment draw deeply upon the wells of British scholar administrators of the nineteenth century. Of particular importance, especially in regard to Afghanistan, is Mountstuart Elphinstone who published the foundational text about the country, An account of the Kingdom of Kabul , 200 years ago. But unlike the HTS and similar programmes run by other Western governments which treat culture as a kind of technical aspect of governance, Elphinstone appreciated the importance ‐ and legitimacy ‐ of local politics.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.022
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.339
Teacher spread0.322 · 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