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Record W3114718606 · doi:10.5281/zenodo.7007445

Le Transfrontalier : pratiques et représentations

2020· preprint· fr· W3114718606 on OpenAlexaboutno aff
Nikol Dziub

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typepreprint
Languagefr
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Ce volume propose une réflexion théorique sur la notion de transfrontalier, à partir de l’analyse circonstanciée de pratiques et de représentations du transfrontalier prélevées dans des contextes divers – région trinationale du Rhin Supérieur, eurorégion Saar-Lor-Lux, Canada francophone, Chine communiste... Ce sont les aspects sociaux (emploi, configurations familiales), logistiques (transports, navettes) et médiatiques (presse/télévision/internet) du transfrontalier comme ses expressions artistiques qui sont au cœur de ce recueil auquel ont contribué des représentants de multiples disciplines, de la sociologie à la critique littéraire en passant par les sciences de l’information et de la communication, les sciences de l’éducation, ou encore l’archéologie. This volume proposes a theoretical reflection on the notion of the cross-border, based on a detailed analysis of practices and representations of the cross-border taken from various contexts - the trinational region of the Upper Rhine, the Saar-Lor-Lux Euroregion, French-speaking Canada, Communist China... The social (employment, family configurations), logistical (transport, commuting) and media (press/television/internet) aspects of the cross-border area, as well as its artistic expressions, are at the heart of this collection, to which representatives of multiple disciplines have contributed, from sociology to literary criticism, including information and communication sciences, educational sciences, and archaeology.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.010

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 head0.063
GPT teacher head0.361
Teacher spread0.298 · 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
Published2020
Admission routes1
Has abstractyes

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