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Record W7036956255

Cultural Circulation : Dialogues between Canada and the American South (Volume 843)

2013· book· de· W7036956255 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2013
Typebook
Languagede
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsGermanPoliticsDialog boxEudora
DOInot available

Abstract

fetched live from OpenAlex

Der Band basiert auf den Vorträgen, die ExpertInnen aus Nordamerika und Europa bei einem internationalen Kolloquium 2010 an der ÖAW über die historischen, kulturellen und literarischen Beziehungen zwischen Kanada und dem amerikanischen Süden gehalten haben. Die Beiträge zu dem breiten und bisher noch nicht systematisch untersuchten Themenkomplex gruppieren sich um vier Schwerpunkte. Sie erhellen demographische Phänomene (und ihre künstlerische Verarbeitung) wie die Vertreibung der Acadiens im 18. Jahrhundert und ihre Ansiedlung in Louisiana (Cajuns) und die Flucht afroamerikanischer Sklaven nach Kanada im 19. Jahrhundert. Besonders aber werden die intertextuellen Beziehungen zwischen AutorInnen aus den Südstaaten der USA (etwa William Faulkner oder Eudora Welty) und von ihnen inspirierten kanadischen SchriftstellerInnen im 20. Jahrhundert (Alice Munro, Jack Hodgins, Margaret Atwood u. a.) untersucht. Der so geführte intensive Dialog zwischen den beiden Kulturräumen wird aus verschiedenen Blickwinkeln und mit unterschiedlichen Methoden betrachtet und dabei kultur- und literarhistorisches Neuland betreten. Dies gilt auch für die Erörterung von parallelen gattungsspezifischen Entwicklungen in den beiden Gesellschaften. Neben den über zwanzig wissenschaftlichen Aufsätzen kommt auch das ludische Element in phantasievoll-kreativen Dialogen im Buch zu seinem Recht.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.007
Science and technology studies0.0020.005
Scholarly communication0.0080.006
Open science0.0060.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.088
GPT teacher head0.267
Teacher spread0.179 · 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
Published2013
Admission routes1
Has abstractyes

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