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Record W4293061750 · doi:10.1515/9783110758948-006

Potentiale und Perspektiven des Althochdeutschen Wörterbuchs als Thesaurus der frühdeutschen Überlieferung: Die Neufunde

2022· book-chapter· de· W4293061750 on OpenAlexfundno aff
Brigitte Bulitta, Almut Mikeleitis-Winter

Bibliographic record

Venuenot available
Typebook-chapter
Languagede
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
FundersUniversity of TorontoU.S. Department of Energy
KeywordsGermanAlphabetDocumentationComputer sciencePresentation (obstetrics)LinguisticsPhilosophy

Abstract

fetched live from OpenAlex

How does the long-term project Old High German Dictionary (AWB) deal with the issues of the topicality and validity of its research results over many years in view of the lively editing activity on Old High German? According to its conception, this fundamental research tool strives to be complete in terms of documentation. However, the further the dictionary progresses in print, the smaller the proportion of newly found records that will be included in the volumes to come. For the time being, any new occurrences relating to the alphabet range that has already been printed can merely be added to the document archive. On the basis of two gloss editions from different periods (Tiefenbach 1977 and Ernst/Nievergelt/Schiegg 2019), this will be quantified by way of example. Using the example of four different readings of a gloss edited over a period of 120 years, it will be shown how the respective state of knowledge in terms of edition philology is reflected in the collections of material and printed volumes (or the online version) of the dictionary. New discoveries of OHG words substantially expand our knowledge of the history of German vocabulary, as illustrated by the example of the body-part designation kunta. Finally, we will present a possible completion concept for the AWB and discuss what internal and external potentials of the AWB could perspectively be exploited in its digital presentation form. Even after being finished from A to Z, the project should be able to fulfil its role as a research centre for the vocabulary of the earliest stage of the German language.

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, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2730.003

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 head0.044
GPT teacher head0.257
Teacher spread0.213 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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