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Record W4404703941 · doi:10.17875/gup2024-2747

Inuit Art

2024· book-chapter· de· W4404703941 on OpenAlexaboutno aff
Peter Bolz

Bibliographic record

Venuenot available
Typebook-chapter
Languagede
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Im Jahre 2016 nahm die Ethnologische Sammlung der Universität Göttingen eine Sammlung von Inuit-Kunst als Geschenk entgegen, die der frühere Bundestags abgeordnete Norbert Wieczorek (1940-2022) in der Zeit zwischen 1979 und 2000 zusammengetragen hatte.Wieczorek hatte in Göttingen im Fach Wirtschafts wissen schaften promoviert und dort lange Zeit als wissenschaftlicher Mitarbeiter gearbeitet, weshalb er seiner Alma Mater mit diesem Geschenk seine Dankbarkeit und Verbun den heit erweisen wollte.In den 1970er Jahren war Wieczorek aus beruflichen Gründen häufig in die USA und Kanada gereist und hatte seine erste Inuit-Skulptur 1979 in einem Hotel in Vancouver gekauft, in dem sich ein Laden der Inuit Art Kooperative befand.Daraufhin beschäf tigte er sich näher mit dieser Kunst und erwarb auf seinen Kanada-Reisen weitere Stücke, vor allem Darstellungen von Schamanen, mythologischen Wesen oder Figuren der Meeresgöttin Sedna.In seiner Sammlung von 139 Steinskulpturen befinden sich insgesamt 16, die die Bezeichnung »Sedna« tragen.Bis 1990 kaufte er diese Kunstwerke vorwiegend in Kanada, ab 1994 nur noch in der Inuit Galerie in Mannheim.Nachdem diese im Jahr 2000 geschlossen wurde, stellte er seine Sammeltätigkeit ein.

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 score0.095
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.004
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0950.016

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 head0.048
GPT teacher head0.353
Teacher spread0.305 · 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
Published2024
Admission routes1
Has abstractno

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