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Record W4361000806 · doi:10.29173/scancan227

“The Long Road of Reconciliation”

2023· article· en· W4361000806 on OpenAlexaboutno aff
Dirk Gindt

Bibliographic record

VenueScandinavian-Canadian Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
FundersVetenskapsrådet
KeywordsComplicityRhetorical questionColonialismIndigenousSociologyFoleyNarrativeCommissionPrime ministerHistoryAestheticsMedia studiesLawPolitical scienceArtLiteraturePolitics

Abstract

fetched live from OpenAlex

Grounded in performance theories and Indigenous methodologies, this essay focuses on the 2021 solemn service in Uppsala Cathedral, when the Church of Sweden apologized for its historical complicity in the colonization of Sápmi. The essay discusses key rhetorical features of the Archbishop’s apology and analyses how the service incorporated Sámi visual, material, oral, and performance cultures. Of specific interest are five Sámi testimonies about settler colonialism and artist Anders Sunna’s redesign of the sanctuary. To tease out the contextual specificities (and limitations) of the apology and situate it as part of unfolding decolonial processes across the circumpolar North, the essay draws selective comparisons to Canada’s Truth and Reconciliation Commission and former Prime Minister Stephen Harper’s 2008 formal apology to First Nations, Inuit, and Métis Peoples.

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)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0240.127
Scholarly communication0.0160.022
Open science0.0030.013
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0080.002

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 head0.122
GPT teacher head0.308
Teacher spread0.186 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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