MétaCan
Menu
Back to cohort
Record W4366348962 · doi:10.23865/noros.v37.3926

Grænselandsidentiteter – om tilhørsforhold og lokale handlemåder i et postsovjetisk rum

2023· article· en· W4366348962 on OpenAlexaboutno aff
Daria Schwalbe, Bent Nielsen

Bibliographic record

VenueNordisk øst-forum/Nordisk østforum · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Educational Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Abstract: Borderland identities – on belonging and local ways of doing things in a post-Soviet placeIn this article we take a closer look at post-Soviet identity and ‘belonging’ within the Indigenous communities in Chukotka, the Russian Far East. During the Soviet era, the Soviet identity was glorified, whereas local ways of life, languages and the ethnic identities of Indigenous peoples were suppressed and stimatized. With the collapse of the Soviet Union in 1991, the entire region sank into a severe economic and ideological crisis, forcing the Indigenous people to return to traditional ways of surviving, stimulating their interest in their ethnic roots, alternative spiritual values and new identities. Based on own empirical material, we analyse facets and practices of belonging among those who identify as Yupik and are related to Inuit in Greenland. Relying on Ortega’s notion of hometactics, we focus on activities – the use of certain words and amulets in homes, consumption of certain foods, and performance of sacred rituals and songs associated with the past – that forge a sense of familiarity and belonging in everyday spaces for the Yupik people, showing how Yupik identity is constructed, enacted, and attributed meaning in interaction and everyday life.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.032
GPT teacher head0.362
Teacher spread0.330 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueNordisk øst-forum/Nordisk østforumSame topicSocial and Educational SciencesFrench-language works237,207