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Record W7139724198

Did Catalonia do the Quebec lesson? : parallels and divergences in the history of both nations

2019· book-chapter· pl· W7139724198 on OpenAlexaboutno aff
Marta Kijewska-Trembecka

Bibliographic record

VenueJagiellonian University Repository (Jagiellonian University) · 2019
Typebook-chapter
Languagepl
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsParallelsDe facto
DOInot available

Abstract

fetched live from OpenAlex

Katalończycy i Quebecois to dwie wspólnoty uznające się za odrębne narody, które dążą do uzyskanie wolności, niepodległości co dla obu oznacza wyjście z kraju do którego administracyjnie przynależą. Katalonia już przez ponad trzy wieki próbuje poszerzyć obszary swojej niezależności, Quebec czyni to de facto dopiero od pół wieku. Do osiągnięcia tego samego celu obie zbiorowości wybrały trochę inne drogi. Quebecois najpierw organizowali referenda, a gdy te nie przyniosły wolności, to w ciągnących się już dziesięciolecia zmaganiach konstytucyjnych walczą o uzyskanie jak najszerszej autonomii dla prowincji, w tym o uznanie ich narodowej odrębności. Katalończycy wpierw dążyli do poszerzenia autonomii na satysfakcjonujące ich obszary, a gdy to nie przynosiło rezultatów sięgnęli po referenda. I wprawdzie, ze zgoła różnych powodów, żadna ze wspólnot nie odniosła spektakularnego referendalnego sukcesu, to dla obu wydarzenia te na długo będą źródłem siły w konsolidowaniu własnej zbiorowości i wzmacnianiu jej tożsamości.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.007
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.016
GPT teacher head0.196
Teacher spread0.180 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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