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Record W7043776144

Trois nouvelles québécoises

2008· dissertation· is· W7043776144 on OpenAlexaboutno aff

Bibliographic record

VenueSkemman · 2008
Typedissertation
Languageis
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)SandpaperIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

Í þessari ritgerð hafa þrjár smásögur úr smásagnaheftinu La héronnière eftir fransk-kanadíska rithöfundinn Lise Tremblay verið þýddar á íslensku. Þetta eru smásögurnar: Hjólhýsið, Elísabet sagði ósatt og Seinasta krýningin. Íslendingar þekkja almennt ekki mikið til kanadískra rithöfunda eða ritverka þeirra, og enn síður þegar um fransk-kanadískan höfund er að ræða. Hér eru á ferðinni þrjár smásögur þar sem vandamál nútímasamfélagsins eru tekin til skoðunar. Þetta nútímasamfélag gæti allt eins verið á Íslandi og í Québec. Höfundurinn og verk hans verða kynnt í greinargerðinni. Þar verður einnig gerð grein fyrir þýðingarvinnunni. Lögð verður áhersla á stíl höfundar, setningagerð, orðaforða og vandamál sem upp komu við þýðinguna.

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.980
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0960.010

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 head0.022
GPT teacher head0.282
Teacher spread0.261 · 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
Published2008
Admission routes1
Has abstractyes

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