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Record W7093443080

9783902811882.pdf

2020· other· de· W7093443080 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2020
Typeother
Languagede
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWorld War IIFirst world warResearch centreWestern europeRegional studies
DOInot available

Abstract

fetched live from OpenAlex

The history of Innsbruck’s area studies centres is a story of success. It began 15 years ago in April 1997 when the first of five area studies centres at the University of Innsbruck – the Canadian Studies Centre – was established. Innsbruck thus played a leading role in Austria as the CSC was not only the first centre for Canadian Studies but also one of the very first centres for area studies to be inaugurated at an Austrian university. In this work report, which continues the record of 1997-2007 published in volume VIII of the canadiana oenipontana series, the Canadian Studies Centre takes stock of the years 2008 to 2012. - Die Geschichte der Länderzentren der Universität Innsbruck ist eine Erfolgsgeschichte. Sie begann vor 15 Jahren, als im April 1997 das erste der fünf Innsbrucker Länderzentren – das Zentrum für Kanadastudien – aus der Taufe gehoben wurde. Innsbruck übernahm damit eine Vorreiterrolle, denn das ZKS Innsbruck war österreichweit nicht nur das erste Kanadazentrum, sondern auch eines der ersten Länderzentren überhaupt, die an einer Österreichischen Universität installiert wurden. Im vorliegenden Arbeitsbericht, der an Band VIII der Reihe canadiana oenipontana anschließt, zieht das Zentrum für Kanadastudien über die letzten fünf Jahre (2008-2012) Bilanz.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.9230.997

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 head0.032
GPT teacher head0.258
Teacher spread0.225 · 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
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
Published2020
Admission routes1
Has abstractyes

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