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Québec Paradiplomacy in Germany: 50 years in the making.pdf

2022· article· en· W6902104085 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsDelegationExploratory researchDiplomacyMinistry of Foreign AffairsOrder (exchange)

Abstract

fetched live from OpenAlex

This thesis seeks to contribute to the existing literature by investigating the actual practices of paradiplomacy through the case of Quebec paradiplomacy in Germany. The thesis investigates in an exploratory mode how Quebec has been conducting its paradiplomacy in Germany over the last 50 years. The first part presents some of the main scholarly contributions on paradiplomacy and the case of Quebec in order to provide a theoretical background to better understand the rationale behind Quebec’s international action. A second part presents an overall picture of how Quebec has been conducting its paradiplomacy in Germany over the last 50 years. In a first step, the annual reports of the ministry responsible for Quebec’s international relations are analyzed with the qualitative content analysis method to explore the channels used, the sectors of interests, and the activities undertaken from 1970 to 2017. In a second step, the actual practices of Quebec paradiplomacy today are presented by triangulating the information gathered during original interviews conducted with employees of the General Delegation of Quebec in Munich and its Antenne in Berlin with additional written data sources. As such, this research presents an overall picture of how Quebec has been conducting its paradiplomacy in Germany over the last 50 years as groundwork for further research on the actual practices of paradiplomacy and on paradiplomacy between Quebec and Germany.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3290.001

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 head0.046
GPT teacher head0.374
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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