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Record W4414853654 · doi:10.1007/s00048-025-00429-1

Ann Shteir (Hg.) 2022. Flora’s Fieldworkers. Women and Botany in Nineteenth-Century Canada. Tobias Delfs 2024. Koloniale Naturforschung und Südasien. Die Beteiligung deutscher Botaniker an der imperialen Wissensproduktion in der ersten Hälfte des 19. Jahrhunderts

2025· article· de· W4414853654 on OpenAlexaboutno aff
Anne Sophie Overkamp

Bibliographic record

VenueNTM Zeitschrift für Geschichte der Wissenschaften Technik und Medizin · 2025
Typearticle
Languagede
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersBergische Universität Wuppertal
KeywordsDivision of labourGerman

Abstract

fetched live from OpenAlex

Botanik galt im .Jahrhundert als die imperiale Wissenschaft schlecht hin -ein Umstand, dem die historische Forschung in den letzten drei Jahrzehnten mit einer ganzen Reihe von Untersuchungen zur Rolle botani scher Gärten und Versuchsstationen, zur Bedeutung botanischer Erkennt nisgewinne für die Plantagenwirtschaft und die damit verbundenen ökolo gischen Folgen sowie zum Beitrag des botanischen Feldes generell bei der Durchsetzung hegemonialer Wissensordnungen intensiv Rechnung getra gen hat.In diesen Forschungszusammenhang ordnen sich auch die beiden

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1310.053

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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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
GenreReview

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
Published2025
Admission routes1
Has abstractno

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