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Record W2473606206 · doi:10.4324/9781315757346

Shakespeare and Hospitality

2016· book· en· W2473606206 on OpenAlexafffundabout

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsYork University
FundersJapan Society for the Promotion of ScienceEuropean CommissionUniversity of Cape TownCanada Council for the ArtsUniversität WienUniversity of CambridgeGovernment of Canada
KeywordsHospitalityArtVisual artsPerformance artAestheticsArt historyHistoryTourismArchaeology

Abstract

fetched live from OpenAlex

Across North and South America, Indigenous people play a dual political role, building self-governing structures in their own nations and participating in the elections of settler states. Doing Democracy Differently asks how states are responding to demands for Indigenous representation and autonomy and in what ways the ongoing project of decolonization may unsettle the practice of democracy. 
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\n Based on the structured, focused comparison of four success stories across Northern Canada, Bolivia, and Ecuador, this book provides real-world examples of how Indigenous autonomy and self-determination may be successfully advanced using existing democratic mechanisms. Drawing on thorough original research to identify factors that create distinctive patterns within Indigenous-state relations, it argues that the capacity for democratic innovation lies within the realm of civil society while the possibility for uptake of such innovation is found within the state and its willingness to work with Indigenous and popular actors. 
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\n Operating at the intersection of Indigenous and Comparative Politics, Doing Democracy Differently takes seriously the role of institutions and the land on which they are built in the creation of democratic transformations in the Americas. This book advances Indigenous rights to autonomy and self-government and speaks to some of the thorniest issues in democratic governance.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.710
Threshold uncertainty score0.975

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)0.0260.000

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 head0.027
GPT teacher head0.211
Teacher spread0.184 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations3
Published2016
Admission routes3
Has abstractyes

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