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Record W7029344742

Jag är hellre medusa än en musa : Grotesk femininitet i skräckromaner: En analys av det feminina som skräckinjagande i Mona Awads Bunny och Rachel Harrisons Cackle.

2023· other· sv· W7029344742 on OpenAlexaff

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2023
Typeother
Languagesv
Field
Topic
Canadian institutionsNative Mental Health Association of Canada
Fundersnot available
KeywordsPleasureBiography
DOInot available

Abstract

fetched live from OpenAlex

Denna uppsats har analyserat gestaltningen av det feminina som skräckinjagande i de två gotik- och skräckromanerna Bunny (2020) av Mona Awad och Cackle (2022) av Rachel Harrison. Den metod som har använts har varit en textnära läsning av novellerna och den teori som analysen har utgått ifrån har huvudsakligen varit Maria Margareta Österholms avhandling Ett flicklaboratorium i valda bitar – Skeva flickor i svenskspråkigprosa från 1980 till 2005 (2012) som behandlar Mary Russos begrepp gurlesken och dess olika former, Sandra M. Gilbert och Susan Gubars teori om den internaliserade manliga blicken i deras bok The madwoman in the attic, The woman writer and the nineteenth-century literary imagination (1979), och Yvonne Lefflers teori om skräckberättelsens förmåga att väcka känslor hos läsaren i hennes bok Horror As Pleasure (2000). Syftet var att undersöka hur romanerna förhåller sig till sammanflätningen av det skräckinjagande och det feminina. Analysen har visat att den internaliserade och objektifierande blicken på kvinnorna är en viktig del i hur de skräckinjagande elementen framställs både groteska och hotfulla – särskilt vid framställningen av det feminina och kvinnomonster. Jag behandlar i den avslutande diskussionen hur det feminint monstruösa i dessa två romaner har förskjutits till ett mittemellanförskap som förhåller sig till förmågan hos publiken att konceptualisera situationerna.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.235
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0060.009
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0160.016
Science and technology studies0.0050.003
Scholarly communication0.0010.003
Open science0.0120.012
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0200.050

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 head0.013
GPT teacher head0.209
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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