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Record W4403693712 · doi:10.52700/ijlc.v5i1.262

Multiple Subjectivities and the Spectrum of Self: A Metamodern analysis of Orphan Black

2024· article· en· W4403693712 on OpenAlexaboutno aff
Zain Ul Maqsood

Bibliographic record

VenueInternational Journal of Linguistics and Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOrphan drugSpectrum (functional analysis)PhysicsBiologyBioinformatics

Abstract

fetched live from OpenAlex

This study explores human subjectivity and its manifestation from a metamodern perspective in the Canadian TV series Orphan Black and its graphic novel adaptation. To analyze the selected text, two metamodern concepts of Simultaneity and Paradox are used in this article. In addition to metamodernism, transmedia storytelling is used as a theoretical foundation to help understand the manifestation of subjectivity in the form of human cloning in the selected texts. The study is qualitative in nature and uses Catherine Belsey’s method of textual analysis to read the selected texts. The analysis sheds light on the manifestation of subjectivity in Orphan Black. The said subjectivity manifests in constant oscillation on the spectrum of self. The clones in the selected series simultaneously occupy multiple positions on the spectrum of self and in doing so, the notion of Paradox helps explain how the said positioning is self-contradictory. This eventually creates a trajectory for the subject to move beyond the either-or and neither-nor boundary of self.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.017
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.316
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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Same venueInternational Journal of Linguistics and CultureSame topicYouth Education and Societal DynamicsFrench-language works237,207