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Record W3015138470 · doi:10.3828/eir.2020.27.1.6

“[A] mad excess of love”: Hyper-Sympathy, Fidelity, and Suicidality in Mary Shelley’s <i>Falkner</i> <sup/>

2020· article· en· W3015138470 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEssays in Romanticism · 2020
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsSympathyPhilosophyPsychoanalysisPsychologySocial psychology

Abstract

fetched live from OpenAlex

Mary Shelley’s Falkner depicts a sentimental and self-destructive hero whose extreme feeling leads, however unintentionally, to the death of his beloved. According to Shelley, left unregulated, emotions—and sympathy in particular—have the potential to not only encourage immoral behaviour but to provoke suicidal ideation. Yet, paradoxically, when felt to excess, sympathy can also prevent an individual from acting on her suicidal thoughts and infringe on her basic human liberty, her right to die. Although Falkner longs for death, believing that by destroying himself he will atone for his crime, he is prevented from doing so by the fervent sympathy of his adopted daughter Elizabeth, who will not permit him to take his own life. As this article argues, hyper-sympathy in Falkner is presented in a surprisingly sinister light, for it precipitates criminality, gives rise to suicidal ideation, strips an individual of his autonomy, and prolongs rather than relieves suffering.

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)0.001
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.341
Teacher spread0.282 · 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