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Record W4416679346 · doi:10.18261/ht.104.4.2

Kolonialisme? Nordisk historieskriving om urfolk 1970–2021

2025· article· no· W4416679346 on OpenAlexaboutno aff
Astri Andresen, Jukka Nyyssönen, Søren Rud, Teemu Ryymin

Bibliographic record

VenueHistorisk tidsskrift · 2025
Typearticle
Languageno
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
Keywordsnot available

Abstract

fetched live from OpenAlex

Spørsmålet om hvorvidt nordiske stater har ført en kolonialistisk politikk, har i de senere år blitt reist i flere ulike sammenhenger. I artikkelen undersøkes om og i tilfelle hvordan historikere har brukt kolonialismebegrepet om relasjonen mellom staten og urfolkene, og hvilket innhold det i tilfelle har blitt gitt. Det argumenteres for at det i tiden etter ca. 1970 kan skilles mellom tre faser i historieskrivingen om samer og kalaallit inuit (Grønlands urfolk). Fasene glir over i hverandre innad i det enkelte land, og utviklingen i de ulike landene er ikke akkurat den samme. I fase 1, ca. 1970–1980, satte historiske fremstillinger etablerte historier om forholdet mellom urfolk og de respektive statene i et kritisk lys, og så det som varianter av oversjøisk kolonialisme. I fase 2, 1980-årene til ca. 2000, ble kolonialismebegrepet særlig brukt i eldre historie, men appellerte mindre i nyere. I den tredje fasen, fra om lag 2000, ble nordisk historieskriving på feltet mer differensiert. Kolonialismeperspektivet styrket seg igjen, inspirert av postkolonial teori, men mindre i Norge enn i de øvrige landene. Etter ca. 2020 ser det derimot ut til å ha blitt fremtredende også blant historikere som ikke er spesialister på urfolkshistorie. I artikkelen lanseres noen forklaringer til både de generelle utviklingstrekkene og den norske historiografiens særtrekk, samtidig som det diskuteres om denne siste vendingen er sterk nok til at det kan tales om en fjerde fase i historiografien.

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.373
Threshold uncertainty score0.742

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.017
GPT teacher head0.335
Teacher spread0.318 · 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
GenreEmpirical

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

Citations2
Published2025
Admission routes1
Has abstractyes

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