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Record W7110558406

Johannes Balle’s Tunumiisut (east Greenlandic) wordlist

2025· other· en· W7110558406 on OpenAlexaboutno aff

Bibliographic record

VenueJagiellonian University Repository (Jagiellonian University) · 2025
Typeother
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsDanishContext (archaeology)Period (music)Order (exchange)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

The work examines the Tunumiisut (East Greenlandic) wordlist gathered by Johannes Balle (1889-1965) sometime in the first half of the 20th century. This little-known vocabulary, which includes equivalents in Kalaallisut (West Greenlandic) and translations into Danish, offers valuable data from a time when information on Greenlandic dialects was scarce and difficult to obtain. The present publication is a pioneering study. There is no previous scholarship on the wordlist, which exists in two copies held at the Royal Danish Library and the Danish Arctic Institute (Arktisk Institute). The author describes the historical context of Johannes Balle’s life and the peculiarities of the linguistic data as presented in the wordlist. The main part of the study is the Tunumiisut wordlist re-arranged according to English keywords for historical and comparative purposes. Extensive indices arranged in the more traditional alphabetical order allow the reader to navigate easily through Tunumiisut, Kalaallisut, Proto-Inuit-Yupik and Proto-Inuit reconstructions, all of them cross-referenced with the English keywords.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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