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Record W7029121836

Hunter-gatherer settlement and land use in the Central Canadian Rockies, AD 800-1800

2009· other· en· W7029121836 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2009
Typeother
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureHuman settlementEthnographyLand useSettlement (finance)Archaeological record
DOInot available

Abstract

fetched live from OpenAlex

Hunters and gatherers can be viewed as part of ecosystems. Through their actions, hunter-gatherers can modify, alter and shape ecosystem structures and components. The Central Canadian Rockies ecosystem was selected to explore the impact and role of humans in this ecosystem as a case study. This study examines the archaeology of the Central Canadian Rockies from the perspective of hunter-gatherer research, theory and concepts. Even in this marginal environment, archaeological investigations have shown that people lived and travelled here. This study examines and evaluates several classes of data including site types, stone tool utilisation, tool technology, subsistence and seasonality, complemented with examination of potentially available ecological resources. Several alternate models of hunter-gatherer utilisation are formulated for the Central Canadian Rockies between AD 800 and AD 1800. The result is a reconstructed ethnology of the area’s occupants that models how these people may have organised themselves through a yearly cycle to best utilise limited resources. Associational and sacred landscape features are examined to further evaluate the models. Changing social dynamics identified in historic and ethnographic records are reviewed and synthesised with the reconstructed Late Precontact ethnology to better understand Native peoples’ utilisation of the Central Canadian Rockies in this period. Conclusions are drawn about the application of hunter-gatherer research, theory and models in reconstructing an ethnology of hunter-gatherers based on limited archaeological and palaeo-ecological data, and in assessing the impacts of hunter-gatherers to this mountain ecosystem.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0030.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2009
Admission routes1
Has abstractyes

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