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Record W1918434037 · doi:10.1111/cag.12201

No wilderness to plunder: Process thinking reveals Cree land‐use via the goose‐scape

2015· article· en· W1918434037 on OpenAlexvenueaboutno aff
Jesse S. Sayles

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2015
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyWildernessResource (disambiguation)GooseWetlandLandformSubsistence agricultureEcologyEnvironmental resource managementCartographyArchaeologyAgriculture

Abstract

fetched live from OpenAlex

Using process thinking and an eye to movement, I argue that the Canadian First Nations people of Wemindji, James Bay, Quebec modify their environment much more than physical landscape measures show. Wemindji Cree live in a dynamic coastal setting where land rises up having been weighed down during the last glaciation. Rising land causes plant and animal habitats to shift and with them, prime goose hunting locations. As part of their resource management system, Cree cut large forest corridors, dike wetlands, and are experimenting with prescribed burnings to facilitate hunting geese, an important subsistence and cultural resource. While large by any reasonable definition (some corridors are a kilometre long), these changes pale against the vast boreal forest. Through corridor cutting, Cree modify, by rough calculation, less than 1 percent of the coast. Seen this way, Wemindji may look to some like an unused wilderness, ripe for development. But Cree affect geese, the target resource, dramatically more than land‐change metrics show by altering key nodes that reverberate through the goose‐scape. My analysis provides a novel view of Cree land and resource use and helps affirm Cree stewardship and occupation of their territory against Quebec's development plans. Aucune nature sauvage à piller : le raisonnement de processus dévoile l'utilisation des terres des Cris à travers le paysage de l'outarde Résumé À partir d'un raisonnement de processus et d'un regard axé sur le mouvement, je défends l'idée selon laquelle les populations des Premières Nations canadiennes de Wemindji, Baie James, Québec modifient leur environnement beaucoup plus que ce qui transparaît à partir des mesures physiques du paysage. Les Cris de Wemindji vivent dans un milieu côtier dynamique caractérisé par des terres qui s'élèvent suite à leur affaissement lors de la dernière glaciation. Le relèvement des terres provoque des déplacements des zones d'habitat des animaux et végétaux qui entraînent des changements dans les sites favorables pour la chasse aux outardes. Le système de gestion des ressources développé par les Cris comprend la coupe de larges couloirs forestiers, l'endiguement de milieux humides et l'essai de feux contrôlés afin de faciliter la chasse aux outardes, une importante ressource alimentaire et culturelle. Si les changements prennent beaucoup d'ampleur (certains couloirs s'étalent sur un kilomètre), ils sont peu de chose à côté de la vaste étendue de la forêt boréale. Les couloirs forestiers ouverts par les Cris modifient grosso modo un espace équivalent à moins de un pour cent de la côte. Ainsi, pourrait‐on considérer que Wemindji se situe au cœur d'une nature sauvage laissée à l'abandon et donc recèle un potentiel de développement inutilisé. Cependant, les Cris influencent les outardes, la ressource d'intérêt, de manière plus considérable que les mesures de changement d'occupation des terres révèlent, en modifiant des points nodaux qui se répercutent à travers le paysage de l'outarde. Cette analyse propose une nouvelle vision des terres des Cris et de l'exploitation de leurs ressources qui contribue à établir les Cris en tant qu'intendants et occupants de leur territoire en opposition aux plans de développement du Québec.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.731
Threshold uncertainty score0.536

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.011
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.283
Teacher spread0.255 · 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

Citations5
Published2015
Admission routes2
Has abstractyes

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