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Record W2431325157

Why some Nations never become States

2016· book· en· W2431325157 on OpenAlexaboutno aff
Aidan Peter Thomas Moyles

Bibliographic record

VenueLAP LAMBERT Academic Publishing eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyNationalismState (computer science)QueerPolitical scienceGender studiesInternational communityIsolation (microbiology)Political economySociologyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

What do Nationalists, Deaf Culturalists, The Modern State of Israel and the Quebec Separatist Movement all have in common? - They all at one stage shared a common desire to be independent sovereign Nations. This book centres around the core concepts of community integration, community isolation and community re-integration. It poses a question of why some nations go on to fulfill a desire to be sovereign States and others don't? It focuses on the Gay community and their unique and distinct self styled Queer Culture and how their community tried, at one stage, to strive for Nationhood. It will also draw on comparisons to similar movements in the American Deaf Community as well as the Quebec Separatist Movement. The Creation of the Modern State of Israel will serve as an example of how radical ideas (at one point in time) mobilised a once scattered and disparate community into a united people with a Nation State to call their own. Ultimately this book examines multiple forms of Alternative Nationalism. Its natural evolution leads either towards a new Nation or re-integration with the old.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.016
Scholarly communication0.0120.012
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0120.003

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 head0.039
GPT teacher head0.299
Teacher spread0.260 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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