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Note on Terminology

2022· book-chapter· en· W4391083320 on OpenAlexaboutno aff
Andrea Geiger

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismHistoryTerminologyContext (archaeology)GenealogyPower (physics)GeographyQueen (butterfly)EthnologyEmpireAncient historyArchaeologyLinguistics

Abstract

fetched live from OpenAlex

Extract The names assigned to both places and people over time can tell us a great deal both about the history of colonization and about the perspectives and attitudes of differing groups of people at any given time. Left unexamined, certain names have the power to distort our understanding of the past. As historians of empire and colonization note, the renaming of Indigenous spaces lay at the very heart of the colonial endeavor and the erasure of the continuing presence of Indigenous people within a colonial framework.1Close Always a challenge, particularly in the context of a story as complex and multifaceted as that told here, is determining what name is best utilized for a given place or people at a particular time. The island group that lies off the coast of what is now British Columbia long known to the Haida people as Haida Gwaii (Xaayda Gwayy′), for example, was renamed Queen Charlotte’s Islands by British explorers and referred to as the Queen Charlotte Islands by British colonial authorities for over two centuries, even as the Japanese Canadian fishers active along the coast prior to World War II knew them as Kuichi Airan.2Close Generally, I have chosen to use the name for a given place that is most revealing of its time and that gives us the greatest insight into the attitudes or perspectives of the actors under discussion, while always remaining cognizant that the vast majority of this borderlands region remained Indigenous space, even as it was incorporated within the boundaries of what are now Alaska, British Columbia, and the Yukon Territory.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.948
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.207
Teacher spread0.182 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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Same venueUniversity of North Carolina Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207