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Record W4390699362 · doi:10.29173/scancan256

Editor's Note

2024· article· en· W4390699362 on OpenAlexaffabout
Natalie Van Deusen

Bibliographic record

VenueScandinavian-Canadian Studies · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAssociation for the Advancement of Scandinavian Studies in Canada
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

Scandinavian-Canadian Studies/Études scandinaves au Canada is the official publication of the Association for the Advancement of Scandinavian Studies (AASSC) in Canada.Volume 30 is a regular journal volume, in which articles, translations, and reviews representing a variety of topics related to the Nordic region are published.It includes all contributions published online during the 2023 calendar year.The present volume contains five articles.The first of these, written by Juliane Egerer, is a comparative piece, which explores two trauma life writings: one Afro-Swedish and the other Ojibwe-Canadian, by Johannes Anyuru and Wab Kinew, respectively.The comparison is based on a number of shared themes, and Egerer demonstrates how the writings by these two authors deconstruct Eurowestern ways of thinking and thereby contribute to the process of decolonization.The theme of colonialism continues in Christopher Crocker's article, which tells the story of a controversial Icelandic statue of Guðríðr Þorbjarnardóttir and discusses how it and other representations of the statue's subject reinforce harmful racialist histories and ideologies and also contribute to Indigenous erasure in North America.The third article, written by Dirk Gindt, is an analysis of the rhetorical features, context, and limitations of a 2021 service that took place in Uppsala Cathedral, in which the Church of Sweden apologized for its role in the colonization of Sápmi.Gindt draws important comparisons to Stephen Harper's formal apology to First Nations, Inuit, and Métis Peoples in Canada, which was delivered in 2008 in the House of Commons as part of Canada's Truth and Reconciliation Commission.

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)0.003
metaresearch head score (Gemma)0.028
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.070
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0070.003
Open science0.0030.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0700.052

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 head0.049
GPT teacher head0.426
Teacher spread0.377 · 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
GenreEditorial

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 routes2
Has abstractyes

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