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Enregistrement 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 sur OpenAlexaboutno aff
Mario L. Cardozo

Notice bibliographique

RevueJournal of Latin American geography · 2016
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueHistory of Science and Medicine
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndigenousLatin AmericansIndigenous rightsMilitarizationCitizen journalismHistoryGeographyEnvironmental ethicsPolitical scienceSociologyLawPoliticsEcology

Résumé

récupéré en direct d'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...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil0,094

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,006
Études des sciences et des technologies0,0060,005
Communication savante0,0080,009
Science ouverte0,0010,004
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0190,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,228
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2016
Routes d'admission1
Résumé présentoui

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