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Record W4312735945 · doi:10.1515/openms-2022-0132

Defining a Hellene. Legal constructs and sectarian realities in the Greek War of Independence

2022· article· en· W4312735945 on OpenAlexaff
Evdoxios Doxiadis

Bibliographic record

VenueOpen Military Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNationalityIndependence (probability theory)War of independenceIdentity (music)State (computer science)Ethnic groupLawNational identityNothingPolitical scienceSpanish Civil WarSociologyGender studiesHistoryImmigrationAestheticsEpistemologyPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract The Greek War of Independence (1821–1829) is a fascinating mélange of the old and new of traditional identities and modern concepts. Perhaps nothing exemplifies this better than questions of identity, ethnicity, and nationality as they played out and developed over the nine years of the conflict. This article examines two trajectories on the question of identity and nationality that seamlessly coexisted not only during the Greek War of Independence but also for much of the early history of the Modern Greek State. The first looks at popular understandings of identity and the second the legal constructs that tried to define a national identity and nationality in terms of law that would be compatible with developments elsewhere in Europe. This article explores these questions on the ground but also in terms of legal constructs and their evolution from the period just before the eruption of the revolt to the establishment of the Greek state arguing that these efforts and apparent contradictions can be seen as taking part in a wider European debate on nationality and identity following the experience of the Napoleonic Wars and at the same time continuing long-held identities in the Ottoman state.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.052
Scholarly communication0.0060.004
Open science0.0000.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.335
Teacher spread0.294 · 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 designQualitative
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

Explore more

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