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Record W4401504231 · doi:10.17161/ygas.v57i.22622

Back Matter

2024· paratext· en· W4401504231 on OpenAlexaboutno aff
YGAS Editors

Bibliographic record

VenueYearbook of German-American Studies · 2024
Typeparatext
Languageen
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsnot available
FundersJohns Hopkins University
KeywordsComputer science

Abstract

fetched live from OpenAlex

2.1.To promote the scholarly study of the German element in the context of culture and society in the Americas.2.2.To produce, present, and publish research findings and educational materials.2.3.To assist researchers, teachers and students in pursuing their interests in German-American Studies.3. The Society for German-American Studies is organized exclusively for education, scientific, and literary purposes under section 501 (c) (3) of the Internal Revenue Code, or corresponding section of any future tax code.The Society advances the scholarly study of German ideas interacting with American beliefs.Since 1976, the Society has sponsored forums to focus on interdisciplinary approaches to understanding the causes of German ethnic influence upon America.The eight million German-speaking immigrants coming to America since 1683, have influenced American thought, and this offers a basis for understanding many of the consequences of World War II, and contemporary issues in America.The Society uses a cost effective method to provide services in bringing together American, German and Canadian scholarship.Our members consist of graduate students, teachers, researchers and seniors.The Society serves these members in five unique ways: a reduced student rate allows graduate students to use the latest research in German-American topics; members receive a newsletter and yearbook as part of

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0430.323

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 head0.316
Teacher spread0.278 · 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
Published2024
Admission routes1
Has abstractyes

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