MétaCan
Menu
Back to cohort
Record W4253480001 · doi:10.22215/etd/2017-11883

Ordinary Apocalypse: Zombies, Feminism and the Unmaking of Self

2017· dissertation· en· W4253480001 on OpenAlexaff
Tammy Mast

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsAutoethnographyEthnographyIdentity (music)ReflexivityMeaning (existential)AestheticsSociocultural evolutionFeminismSociologyPopular cultureCultural studiesGender studiesArtLiteratureEpistemologyMedia studiesAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

This thesis is a reflexive examination of my own experience, as understood through my consumption of popular culture, specifically the television series and graphic novel, The Walking Dead. This project investigates the rich and complex sociocultural phenomenon of the self through an examination of my own self, as reflected and refracted through popular culture. The thesis is grounded in a feminist and cultural studies theoretical framework that examines the nature of knowledge and the production of meaning in our culture. The methodology for this project hybridizes two distinct ethnographic approaches: autoethnography and webnography. Specifically, I draw on the story arc of Lori and Andrea to demonstrate some of the ways that the post-apocalyptic world of the Walking Dead relies on a logic of masculinist protection to discursively and symbolically create a subordinate feminine identity, self or role for Lori and Andrea. I use my own emotional engagement with the series to expand the idea of apocalypse to more ordinary or quotidian aspects of our lives.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.320
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicGothic Literature and Media AnalysisFrench-language works237,207