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Record W7071550384

Small town secession : representations of micro-statehood in the US TV series Republic of Sarah (2021)

2022· article· en· W7071550384 on OpenAlexaboutno aff

Bibliographic record

VenueOAR@UM (University of Malta) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSpatial and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPremiseMinistateTheme (computing)SecessionThe RepublicSeries (stratigraphy)DemocracyCitizen journalism
DOInot available

Abstract

fetched live from OpenAlex

The 13-part US TV series Republic of Sarah (2021) represents the emergence of Greylock, a microstate on the US/Canada border. The establishment of the microstate is initially represented as a tactical ploy by opponents of a mining enterprise that capitalises on a (fictional) error made when the international boundary between the US and Canada was drawn up in the 1840s. This premise allows the series to explore the practical difficulties in establishing a microstate in the early 21st Century. But the radical autonomist aspect of this theme is undercut by the new state’s close adherence to ideals of US participatory democracy and the manner in which Greylock is presented as a more humane and participatory alternative to contemporary America. Following an overview of secessionist movements in the US and the legal structures that have prevented them gaining traction, the article provides an overview of the issues presented in Republic of Sarah, the impulses behind its production and aspects of its critical reception.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.242
Teacher spread0.212 · 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 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

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