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Record W7009272407

Dispossession with Possession, Governance with Colonialism: Algonquian Hunting Territories and Anthropology as Engaged Practice

2018· article· en· W7009272407 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)Corporate governanceHistory of anthropologyGovernment (linguistics)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

Hunting territories have been and remain central to struggles of northern Algonquian peoples for governance of their lands, to the changes they envision, and for the responses they make when others enter their lands. Hunting territories are also envisioned by some nation-state governments and resource developers as means to disrupt Indigenous governance, communities and tenures to facilitate colonial regimes of control. What happened in this region, and how it came to be understood, has been part of the development of broad anthropological understandings of how peoples can continue living and actively governing their lands amidst colonial intrusions and relations. The anthropology of Algonquian hunting territories has throughout the last century been closely linked to several theoretical debates and to diverse anti-colonial analyses, both within and outside the discipline. Anthropologists’ work has involved ever-changing relationships with northern Algonquian peoples and with the beyond colonising movements, challenges and agreements they have initiated. These relationships have involved long-term anthropological engagements and practices that continue to be taken up in debates about anthropological scholarship and activism. The articles in this volume substantially update these northern Algonquian–state–market–anthropology relations and the analyses of Algonquian hunting territories. - - Les territoires de chasse ont été et demeurent centraux aux lutes des Peuples Algonquiens du Nord pour la gouvernance de leur territoire et dans les accommodements qu’ils envisagent et prennent avec ceux qui entrent sur leurs territoires. Les territoires de chasse sont aussi pensés par certains gouvernements d’États-nations et exploitants de ressources naturelles tel un moyen de déstabiliser la gouvernance Autochtone, les communautés et leurs pratiques foncières afin de faciliter les régimes de contrôle coloniaux. Ce qui s’est passé dans cette région, et la manière dont les choses ont été comprises, a fait partie du développement du savoir anthropologique quant à la manière dont les peuples continuent de vivre sur leurs territoires et de les gouverner, malgré les intrusions et les relations coloniales. Au cours du siècle dernier, l’anthropologie des territoires de chasse Algonquiens a suivi de près divers débats théoriques, se liant à divers arguments anticoloniaux, tant au sein de la discipline qu’à l’extérieur. Les travaux des anthropologues révèlent la transformation continuelle de leurs relations avec les Peuples Algonquiens du Nord, et avec les mouvements, revendications et arrangements de décolonisation initiés. Ces relations ont impliqué l’établissement d’engagements et de pratiques anthropologiques sur le long terme, lesquels continuent de faire l’objet de débats quant à la recherche et l’activisme anthropologiques. Les articles de ce numéro spécial actualisent ses relations entre les Algonquiens du Nord, l’état et l’anthropogie, et les analyses des territoires de chasse Algonquiens.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.060
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.303
Teacher spread0.286 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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