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Record W2883045512

From a Modest Start to a Flourishing Marine Research Environment: The Institutional Development of Marine Geosciences in Kiel after World War II

2018· article· de· W2883045512 on OpenAlexfundno aff
Jörn Thiede, William W. Hay, Michael Sarnthein, Priska Schäfer, Gerold Siedler, P. Stoffers, Völker Storch, Erwin Suess, Roland von Huene, P. Wille, Bernt Zeitzschel, Walter Zenk

Bibliographic record

VenueHelmholtz Centre for Ocean Research Kiel (GEOMAR) · 2018
Typearticle
Languagede
FieldImmunology and Microbiology
TopicAlexander von Humboldt Studies
Canadian institutionsnot available
FundersRussian Academy of SciencesBundesministerium für Forschung und TechnologieLeibniz-GemeinschaftSaint Petersburg State UniversityDeutsche ForschungsgemeinschaftEuropean Science FoundationEuropean CommissionBundesministerium für Bildung und ForschungPast Global ChangesEuropean Social FundAlberta Agricultural Research Institute
KeywordsFlourishingPolitical scienceMarine researchOceanographyGeologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Dieser Text wird unter einer Deposit-Lizenz (Keine Weiterverbreitung -keine Bearbeitung) zur Verfügung gestellt.Gewährt wird ein nicht exklusives, nicht übertragbares, persönliches und beschränktes Recht auf Nutzung dieses Dokuments.Dieses Dokument ist ausschließlich für den persönlichen, nicht-kommerziellen Gebrauch bestimmt.Auf sämtlichen Kopien dieses Dokuments müssen alle Urheberrechtshinweise und sonstigen Hinweise auf gesetzlichen Schutz beibehalten werden.Sie dürfen dieses Dokument nicht in irgendeiner Weise abändern, noch dürfen Sie dieses Dokument für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, aufführen, vertreiben oder anderweitig nutzen.Mit der Verwendung dieses Dokuments erkennen Sie die Nutzungsbedingungen an.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0050.009
Scholarly communication0.0160.006
Open science0.0020.013
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.076
GPT teacher head0.333
Teacher spread0.257 · 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.

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
Published2018
Admission routes1
Has abstractyes

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