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Nieznane polonika kanadyjskie – William John Rose i jego archiwalna spuścizna

2019· article· pl· W2991466577 on OpenAlexaboutno aff
Tomasz Pudłocki

Bibliographic record

VenueStudia Historiae Scientiarum · 2019
Typearticle
Languagepl
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRose (mathematics)TheologyHistoryArt historyReligious studiesPhilosophyMathematics

Abstract

fetched live from OpenAlex

Autor omawia archiwalną spuściznę Williama Johna Rose’a (1885–1968), kanadyjskiego slawisty, historyka i socjologa, pokazując jej przydatność do badań nad historią nauki oraz relacjami uczonych polskich z uczonymi z krajów anglosaskich. Ze względu na oddalenie Vancouver od Polski kolekcja zgromadzona w Archiwum Uniwersytetu Kolumbii Brytyjskiej nie była do tej pory przedmiotem zainteresowań polskich uczonych, warta jest jednak zauważenia ze względu na swoje bogactwo i różnorodność tematyczną. Unknown Canadian Polonica – William John Rose and his archival legacy Abstract The author discusses the archival legacy of William John Rose (1885–1968), a Canadian Slavist, historian and sociologist, showing its usefulness in researching the history of science and the relations between Polish scholars and scientists from Anglo-Saxon countries. Due to the distance of Vancouver from Poland, the Rose Fond collected in the Archives of the University of British Columbia (Canada) has not been the subject of interest of Polish scholars so far, but it is worth noting due to its richness and thematic diversity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.119
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.004
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.008
GPT teacher head0.223
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2019
Admission routes1
Has abstractyes

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