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Record W2797552723

Rozhovor Britských listů 159. Na Západě je daleko větší konkurence [Britské listy interview 159. There is much stronger competition in the West]

2018· article· cs· W2797552723 on OpenAlexaboutno aff
Jan Čulík, Francis D. Raška

Bibliographic record

VenueENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2018
Typearticle
Languagecs
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationCompetition (biology)CzechCommunismEconomic historyPolitical scienceHistoryLawPoliticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Czechoslovak emigrants who left their country for the West after the 1948 communist takeover mostly failed in their careers there, while Czechoslovak emigrants who left their country for the West after the Soviet invasion of 1968 were mostly spectacularly successful in their careers there, ending up with top university jobs, not only in Europe but also in the US and particularly in Canada. In this TV interview, broadcast by the Czech cable TV Regionalnitelevize.cz from 6th April, 2018, Jan Čulík talks to Francis Raška, a specialist in the history of Czechoslovak emigration to the West in the 20th century, discussing those issues that are mentioned above.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0880.012

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 head0.041
GPT teacher head0.298
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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