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Record W2729345853 · doi:10.1111/aman.12893

Historical Ecology of Cultural Keystone Places of the Northwest Coast

2017· article· en· W2729345853 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Anthropologist · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsTula FoundationUniversity of VictoriaUniversity of AlbertaUniversity of Northern British ColumbiaSimon Fraser University
FundersHakai InstituteSocial Sciences and Humanities Research Council of CanadaVancouver FoundationNational Geographic Society
KeywordsExpansiveIndigenousKeystone speciesEcologyGeographyHistorical ecologyHistoryArchaeologyCultural landscapeArchaeological recordHabitatEnvironmental ethicsBiology

Abstract

fetched live from OpenAlex

ABSTRACT For many Indigenous peoples, their traditional lands are archives of their histories, from the deepest of time to recent memories and actions. These histories are written in the landscapes’ geological features, contemporary plant and animal communities, and associated archaeological and paleoecological records. Some of these landscapes, recently termed “cultural keystone places” (CKPs), are iconic for these groups and have become symbols of the connections between the past and the future, and between people and place. Using an historical‐ecological approach, we describe our novel methods and initial results for documenting the history of three cultural keystone places in coastal British Columbia, Canada: Hauyat, Laxgalts'ap (Old Town) and Dałk Gyilakyaw (Robin Town) (territories of Heiltsuk, Gitga'ata, and Gitsm'geelm, respectively). We combine data and knowledge from diverse disciplines and communities to tell the deep and recent histories of these cultural landscapes. Each of CKPs encompasses expansive landscapes of diverse habitats transformed by generations of people interacting with their surrounding environments. Documenting the “softer” footprints of past human‐environmental interactions can be elusive and requires diverse approaches and novel techniques.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.029
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.050
GPT teacher head0.416
Teacher spread0.366 · 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