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Record W7126594149

Civil unrest

2025· dissertation· en· W7126594149 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMOspace Institutional Repository (University of Missouri) · 2025
Typedissertation
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSocial unrestUnrestWork (physics)TerrorismQuarter (Canadian coin)Style (visual arts)Plot (graphics)
DOInot available

Abstract

fetched live from OpenAlex

This creative thesis is comprised of a novel-in-progress, which currently stands at approximately 72,000 words, representing approximately a quarter of a complete draft. The novel follows the foiling of a domestic terrorist plot during the 2016 election by a middle-aged mother and her teenage son, following them across the course of approximately a month as they fall in with two different, but interconnected, right-wing conspiratorial subcultures that lurk under the surface of their mid-Atlantic town. By navigating their own identities-in-crisis and resolving their strained relationship, they are able to stop chaos and destruction from taking full hold of their community. The first two chapters of the novel, which introduce the two main characters, are presented here. Additionally, a critical introduction seeks to place the creative work in context, both in terms of real-world social inspirations and with regard to previous literature which tackles both conspiracy as a subject, and the sincere, emotionally-driven, closely-observed style of the work.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.759
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
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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