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Record W4246770375 · doi:10.7765/9781526121509.00008

A note on terminology

2017· book-chapter· en· W4246770375 on OpenAlexaboutno aff

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
Fundersnot available
KeywordsTerminologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

A difficulty facing historians of the Arctic is that the names of countries and peoples that appear in the historical record are almost wholly different from those used by the people themselves today.Home rule in Greenland and the creation of Nunavut, the new territory in the Canadian eastern Arctic in 1999, have been accompanied by the renaming of towns and other communities.In a similar fashion Arctic peoples have adopted new words to describe themselves.The term 'Eskimo' has been largely replaced by 'Inuit', but that is a generic name and different sub-groups have adopted other names.Elsewhere in the Arctic the Lapps now call themselves 'Sami', and the Samoyed 'Nentsy'.As the process of change is continuing, it is difficult to create hardand-fast rules, so the following procedures have been adopted.Firstly the people will be referred to by their current preferred name.However, where it is still approprate to use older names in order to make sense of earlier descriptions, they will be used in preference.Secondly the traditional Europeanised country and island names will be used, e.g.Greenland, Baffin Island, and the same will apply to names of seas and fjords, as they are still mostly used by the compilers of atlases.Native names will be used for towns and villages where they exist, as their use is becoming more widespread and they feature increasingly in contemporary literature.However, to help the reader they will be accompanied by their past European names.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.986
Threshold uncertainty score1.000

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)0.0000.000

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 head0.085
GPT teacher head0.229
Teacher spread0.144 · 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
Published2017
Admission routes1
Has abstractyes

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