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Record W3217363170 · doi:10.1353/sym.2021.0009

The Paranoid Imperative: Affect, Emotion, and Neoliberal Academe

2021· article· en· W3217363170 on OpenAlexaboutno aff

Bibliographic record

Venuesymplokē · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsParanoiaParanoid schizophreniaPopulationPsychologyParanoid DisordersPsychiatryQuarter (Canadian coin)Affect (linguistics)Depression (economics)DemographySociologyPsychosisHistory

Abstract

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The Paranoid Imperative:Affect, Emotion, and Neoliberal Academe Jeffrey R. Di Leo (bio) Are academics more paranoid than the rest of the population? It has been said that around 15 to 20 percent of the population frequently have paranoid thoughts and another 3 to 5 percent suffer from severe paranoia. While the latter group requires medical treatment for what psychologists call persecutory delusions, the others have lesser forms of paranoia (Freeman and Freeman 2008, 10-11). Thus, given that around a quarter of the population are said to be paranoid, it seems safe to say that paranoia is not uncommon today. Nevertheless, designating a large chunk of the population as paranoid is a fairly recent phenomena. In 1980, if you asked the average psychiatrist what percentage of the population had the unfounded belief that someone or something is out to hurt them, that is, what percentage of the population is paranoid, most would have set this number at around 1 percent. It was not until the 1990s that more and more people came to be identified as having paranoid thoughts. The 1 percent though from the previous era was not a precise number. Rather, it was one that correlated with the perceived number of people with severe mental illness. Some of this one percent were those with severe depression and post-traumatic stress disorders, who suffered severe paranoia as a consequence. But most were people diagnosed with schizophrenia, wherein about half also had persecutory delusions (Freeman and Freeman 2008, 11). So, if around a quarter of the population can be said to experience some level of paranoia, how do these numbers compare to those regarding the prevalence of paranoia in academe? While the figures above were largely drawn from surveys of select communities, the higher education community has not been among them. Part of the reason for this is that higher education has been largely uninterested in the emotional dimensions of academic life.1 "The university world," comments Charlotte Bloch, is generally associated with rationality, methodological principles, objectivity and logical argument. From the point of view of this [End Page 163] organisational [sic] self-understanding, emotions appear to be alien, irrelevant and disruptive. However, this does not mean that Academia does not have a culture of emotions. The perception of emotions as being alien and irrelevant is in fact the expression of a particular culture of emotions. In this case, an academic culture in which feelings have no place. (2012, 2) This is all the more surprising when one considers that not only has the importance of emotions in organizational research been widely acknowledged, but also that organizations have been recognized as both rational and emotional structures.2 Moreover, organizations have also been associated with affectivity, which has been cited as one of their key dimensions (Albrow 1992, 326). Nevertheless, in spite of the claim that affectivity is a key dimension of organizations, studies of affect in higher education are still a neglected area of affect theory. And though one recent effort to fill this lacuna dubbed itself the "first" application of affect theory to comparative education themes (Epstein 2019), it focused more on how affect theory can help to form a more robust discussion of the policy-making process—and the popular reactions to it—than on the more general topic of paranoid affect in academe. This is in spite of the fact that interest in affect theory is now nearly twenty-five years old. Melissa Gregg and Gregory J. Seigworth, co-editors of an authoritative anthology of work in this area, date the "watershed moment" for affect theory to be the 1995 publications of Eve Kosofsky Sedgwick and Adam Frank's "Shame in the Cybernetic Fold" and Brian Massumi's "The Autonomy of Affect" (2010, 5). Nevertheless, both of the above areas of concern on paranoia—organizational psychology and affect theory—provide enough material to establish a couple of working theses about paranoia in academe. The first is that academics, particularly in the humanities, are trained to be paranoid. The second thesis now follows from the first: because learning how to be an academic involves learning how to be paranoid, to be an academic is to be paranoid...

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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