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Record W4254637955 · doi:10.32920/ryerson.14654298

Blondes have Less Fun, Actually: Depictions of Traditional Femininity in the Post-Zombie Apocalypse Metropolis

2021· preprint· en· W4254637955 on OpenAlexaff
Johanna Rose Peacock

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsZombieHumanityCivilizationOpposition (politics)Context (archaeology)PandemicSociologyAestheticsEnvironmental ethicsPolitical scienceCoronavirus disease 2019 (COVID-19)LawHistoryPhilosophyPolitics

Abstract

fetched live from OpenAlex

<p>[Introduction]: "Rarely in our world, in what we believe to be “modern,” “civilized” society, is chaos considered desirable. Order is what we strive for instead: it gives us our government, the social systems upon which we rely, and shapes the structure of our daily lives. While in the abstract, chaos can seem like an exciting, even desirable departure from the status quo, in the context of a global pandemic (like the one through which we are currently living), disorder and uncertainty often prove more terrifying than the virus itself. Which stores will close, and for how long? Who exactly is at risk of infection? When will we be allowed to see our friends again? Chaos, in this context, becomes the enemy of societal survival, threatening humanity’s civilized self-image and testing communal ideals. Colson Whitehead’s Zone One and M.R. Carey’s The Girl with All the Gifts both use the pandemic setting to investigate ideas about chaos and its relationship to civilization, but their pathogen of choice is no ordinary infective. In both books, a zombie crisis is responsible for the destruction of humanity as we know it, making tangible anxieties about how we define ourselves in opposition to one another, and what it really means to be “civilized.”"</p>

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)0.001
metaresearch head score (Gemma)0.001
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 score0.248
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.080
GPT teacher head0.329
Teacher spread0.249 · 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
Published2021
Admission routes1
Has abstractyes

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