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En luktende diskurs. Jessie Kleemann og grønlandsk kunsthistorie mellom spekk og terpentin

2018· article· nn· W2896719018 on OpenAlexaboutno aff
David W. Norman

Bibliographic record

VenueKunst og kultur · 2018
Typearticle
Languagenn
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

I et black box-teater står en kvinne i sort badedrakt foran en stor plastpresenning fylt med rått selspekk. Kvinnen går usikkert frem og tilbake, stirrer forsiktig mot kjøttet. Etter en stund krydrer hun spekket med salt før hun begynner å gestikulere og bøye seg ned mot det. Deretter skjærer hun i det med en ulu, en kniv brukt av inuittkvinner i både Grønland, Canada og Alaska. Etter disse nærmest seremonielle handlingene, reiser hun seg og poserer med forvrengte ansiktsuttrykk. Hun tar et stykke spekk i munnen og beveger seg ut mot publikum. Hun ligner litt på en maskert figur eller en hvalross – olje og blod fra kjøttet flyter nedover kroppen hennes. Disse dyriske gestene endres i neste øyeblikk idet hun løfter uluen over hodet i en maktpositur. En overdrevet rynke i pannen forstyrrer dog denne ellers så seriøse gestus. Også denne posituren forlates hurtig idet kvinnen begynner å kutte i noe spekk hun har klemt mellom brystene mens hun smiler som en pinup-jente. Deretter plukker hun opp et glass fylt med hvit maling. Hun presser glasset mot lysken og lar den hvite malingen dryppe langsomt utover kjøttet på gulvet. Til slutt tar hun krydder på både seg selv og på spekket før hun pakker seg inn i plastpresenningen og kryper av scenen med spor av maling og fett etter seg.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0380.015

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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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