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Record W4299902121 · doi:10.29173/scancan105

Arthur A. Anderson. Stoft: Dust of Our Being.

2014· article· en· W4299902121 on OpenAlexaboutno aff
Susan Brantly

Bibliographic record

VenueScandinavian-Canadian Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

To be honest, I did not expect much from this collection of Swedish poetry, translated on commission by the poet's family.I certainly did not expect one of the most enjoyable poetry reading experiences I have had in a long time.As the editor's introduction tells us, Arthur Antonius Anderson was born in 1894 in Malmberget in the northernmost reaches of Sweden.Educated as a forester, he immigrated to Manitoba in 1924 to make a better life.Despite the disability of an amputated left hand, he made a career working for the Swedish American Line.And somewhere, somehow, Anderson also became a man of letters.Some of the memories of his family included in the volume allude to a large library, and I would dearly love to know which Swedish books were there.I think I can hazard a guess at a few of them.An almost certain bet would be Esaias Tegnér's Frithiofs saga (1825),

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)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0880.046

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 head0.038
GPT teacher head0.240
Teacher spread0.202 · 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
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

Citations0
Published2014
Admission routes1
Has abstractyes

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