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Record W2589528972 · doi:10.1353/esc.2016.0002

“More Human Than Human”: “Flattening of Affect,” Synthetic Humans, and the Social Construction of Maleness

2016· article· en· W2589528972 on OpenAlexvenueno aff
Jordana Greenblatt

Bibliographic record

VenueEnglish studies in Canada · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)PsychologyPsychoanalysisAestheticsArtCommunication

Abstract

fetched live from OpenAlex

“More Human Than Human”:“Flattening of Affect,” Synthetic Humans, and the Social Construction of Maleness Jordana Greenblatt We’re all schizophrenic, with defective emotional lives—flattening of affect, it’s called. What I’ve done … that’s become alien to me. In fact everything about me has become unnatural; I’ve become an unnatural self. Philip K. Dick Do Androids Dream of Elecric Sheep? In philip k. dick’s novel, androids are unable to empathize with or feel for others. Their absence of spontaneous emotional response to hypothetical scenarios is the diagnostic used to distinguish them from humans. Androids’ disconnection from others and lack of affective response constitute the “affective flattening” to which Pris, an android, refers, understood in Dick’s novel as a defect that, when unattributable to mental illness, marks one as other than human. Thus, above, Pris lies to her human interlocutor, misattributing the cause of her affective flattening in order to provide a human explanation for the feature used to identify androids, who are subject to being “retired,” a euphemism for their summary execution. In this affective deficit and its implications for human identity, Pris [End Page 41] and her fellow androids (“andys”) are hardly alone. Dick’s novel, Ridley Scott’s film adaptation, Blade Runner, and (writer) Ronald Moore and (producer) David Eick’s recent Battlestar Galactica television series are a few examples of a trend that proliferates from the 1950s onwards.1 In such science-fiction texts, humans build and often come into conflict with beings that have been created by humans or have evolved from those created by humans. These beings are almost indistinguishable from humans, except, of course, for that all-important lack of emotional connection: that necessary flattening of affect. While critics generally frame such texts as questioning the nature of the human,2 they represent specifically gendered anxieties. Synthetic humans are distinguished from “real” humans by a particular form of emotional insufficiency. While they usually do feel, they generally lack abilities to know and understand their feelings, feel in relation to others, and/or empathize with or understand the feelings of others. Commenting on the historical shift in the attributes characterizing synthetic humans, Despina Kakoudaki argues that “If for Descartes … automata differ from people because they have … no reason, by the early twentieth century artificial people differ from real people because all they have is reason” (181). Andys, replicants, and Galactica’s Cylons can all have implanted memories, which means that characters can be synthetic without knowing it. Given that the shift Kakoudaki identifies undermines modernity’s ideal of the human-as-rational-subject, it is unsurprising that the Galactica character who most persistently questions whether or not he is a Cylon [End Page 42] is Gaius Baltar, whom we initially meet as a scientist with an important role in the human Colonies’ defense system and who places great stock in his own rationality. Both Baltar’s investment in rationality and his sex are relevant; given white, Western maleness’s (and normative masculinity’s) association with logic, reason, and denying and flattening affect and femaleness’s (and normative femininity’s) with emotionality, emotional intelligence, and empathy, any sense that emotionality defines the human has gendered implications. Modernity’s rational subject, associated with Enlightenment ideals and the Classical traditions they draw on, is one whose maleness, Westernness, and whiteness has historically been used as the measure against which disenfranchised groups, including women, people of colour, and the colonized, have fallen short, judged insufficiently rational and overly emotional. It is therefore his identity that comes into question when reason is no longer a guarantor of human identity. As Alison Jagger notes, The western tradition has not seen everyone as equally emotional. Instead, reason has been associated with members of dominant political, social, and cultural groups and emotion with members of subordinate groups. Prominent among these subordinate groups in our society are people of color, except for supposedly “inscrutable orientals,” and women. (157)3 As emotion replaces rationality as the metric distinguishing humanity from its synthetic doubles, the science-fiction characters that most question if they are human are the rationalist scientist (Galactica) and the hardboiled man of action (Androids and Blade...

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.027
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
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 head0.018
GPT teacher head0.307
Teacher spread0.289 · 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.

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

Citations6
Published2016
Admission routes1
Has abstractyes

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