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Record W7001178709

Indigenous place names in arctic Canada: A publicly accessible inventory of projects

2024· article· en· W7001178709 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionCircumstantial evidencePretextProteogenomicsLiquationGestational period
DOInot available

Abstract

fetched live from OpenAlex

Toponyms contain Indigenous modes of understanding and reflect ecological histories and deep relationships between Indigenous communities, arctic environments, time, and land. Completed toponymic studies are useful for researchers to access; however, they are notoriously difficult to find. Many are completed by community groups and published on their websites, or are completed by government agencies and published as grey literature. An inventory of toponym projects has not existed, and eliciting what has been completed where, with whom, and by whom has required long searches through academic and grey literature. In this paper, we inventory Indigenous toponymy projects in the Canadian North, and document our efforts to produce a publicly accessible index where toponymy projects can be found via maps. New or unknown resources can be added by users. Our purpose, here, is to document the production of this resource and to increase awareness of toponymical resources among communities, researchers, scientists, and other stakeholders. We reflect on knowledge gained through construction of the index and make observations on trends in Inuit toponym research through time. We argue for renewed efforts across arctic sciences to recognize Inuit-environment relationships through reference to place names and the ecological histories they encapsulate, and we provide considerations for future work.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.041
GPT teacher head0.348
Teacher spread0.307 · 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
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
Published2024
Admission routes1
Has abstractyes

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