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Record W2508347568 · doi:10.1353/lag.2016.0016

Weaponizing Maps: Indigenous Peoples and Counterinsurgency in the Americas by Joe Bryan and Denis Wood

2016· article· en· W2508347568 on OpenAlexaboutno aff
Mario L. Cardozo

Bibliographic record

VenueJournal of Latin American geography · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLatin AmericansIndigenous rightsMilitarizationCitizen journalismHistoryGeographyEnvironmental ethicsPolitical scienceSociologyLawPoliticsEcology

Abstract

fetched live from OpenAlex

Reviewed by: Weaponizing Maps: Indigenous Peoples and Counterinsurgency in the Americas by Joe Bryan and Denis Wood Mario L. Cardozo Weaponizing Maps: Indigenous Peoples and Counterinsurgency in the Americas. Joe Bryan and Denis Wood. New York: The Guilford Press, 2015. xxiii + 272 pp. $35 paperback (ISBN 9781462519910). In the book Weaponizing Maps: Indigenous Peoples and Counterinsurgency in the Americas, Joe Bryan and Denis Wood present a critique of indigenous mapping projects in the Americas. The authors add to studies that expose the difficulties of simplifying indigenous lands into territories with fixed boundaries adapted to spatial planning. Bryan and Wood suggest that instituting such spatial representations may have unsettling consequences, even when these efforts are intended to establish or strengthen indigenous rights. As the book’s title suggests, the authors contribute to a growing literature of critical geography underscoring the militarization of mapping projects in developing areas. The book’s critique revolves around research led by geography scholar Peter Herlihy and his associates, who have developed and applied participatory research mapping methods during extensive work with traditional peoples in Latin America. Bryan and Wood focus on how some projects involving Herlihy have connected indigenous peoples in Mexico and Central America to U.S. military funding through the American Geographical Society (AGS). To establish this connection, the authors summarize the history of the AGS, including its relationship with imperial forms of geography since its origin in the 1850s and its alleged decline over the last few decades. More recently, the U.S. Defense Department has helped fund AGS’s Bowman Expeditions, which are participatory research projects that collect georeferenced human geography data, with the purported aim of augmenting geographic literacy to promote a better understanding of the world. Herlihy was a key researcher in the inaugural Bowman Expedition, the México Indígena project (2005-2008), which sought to evaluate the impacts of new land-tenure policies on traditional communities in Mexico. The project was controversial; it raised questions of ethics in geographic research linked to informed consent, the supposed ambiguity of the project’s objectives, and the significance of the project’s connection with the U.S. military. Indigenous leaders from Oaxaca, Mexico, who initially collaborated with the project, claimed they were unaware México Indígena was being financed by the U.S. Defense Department and declared themselves victims of geopiracy, fearing information about their communities had been gathered in part to feed intelligence to the U.S. government. Bryan and Wood contextualize the Oaxaca accounts with discussions of how the U.S. military has increasingly injected–albeit clumsily–anthropologic and human-geographic frameworks into its counterinsurgency and Small Wars guidelines, including [End Page 151] the moribund Human Terrain System program. In this manner, the authors link the U.S. government’s funding of AGS’s Bowman Expeditions to the Army’s efforts to collect data for the “applied human geography” components of counterinsurgency programs. The authors discuss some key efforts in securing indigenous rights in the Americas, particularly through territorialization processes. Bryan and Wood start by reviewing how native peoples in Canada pioneered in achieving a level of self-governance. These and other similar efforts involved mapping indigenous lands in order to gain official recognition. Initial indigenous mapping efforts seemed preoccupied with representing aspects of the landscape considered unique and relevant to indigenous peoples. Bryan and Wood argue that the fight for indigenous self-governance has seen a shift that now places more importance on land demarcation and the cartographic principles employed to establish precise boundaries, including GIS and GPS applications. This focus parallels the need—during colonial times in the Americas and in Western culture—to stratify the landscape into fixed categories of land tenure that may not reflect the spatial-temporal and historical complexities of indigenous lives and how they intersect with other geographies. This discussion, in particular, is connected to how a conservative framework of property rights has been used in counterinsurgency discourses to further push the supposed need to formalize land tenure and modernize the landscape. Although the authors engage often in critical thinking, the text is easy to follow, with relatively little jargon, and the story becomes increasingly engrossing as links among different accounts...

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0060.005
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0190.003

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations2
Published2016
Admission routes1
Has abstractyes

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