MétaCan
Menu
Back to cohort
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 OpenAlex
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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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

Contrary to classical oceanography in Kiel (Zenk et al., 2018) the development of the marine geosciences at CAU (Christian-Albrechts-Universitt zu Kiel)* was not linked to earlier and somewhat more modest beginnings of studies in marine geology in Kiel and other localities in Germany.Their development was therefore different from the new (after WW II) Institute of Marine Sciences (IfM) of CAU which was able to draw on the legacy of its predecessors in Berlin and in Kiel.The new IfM grew quickly beyond the means of a regular university institute and Gnter Dietrich succeeded in having it transferred 1968 to the "Blaue Liste" Institutes (later called Leibniz Institutes) which were co-funded in equal shares by the local and the

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.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0000.000
Open science0.0020.009
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.076
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