Bibliographic record
Abstract
Pareidolia is a poetic cross-genre (creative writing) manuscript in three parts that interrogates techno-colonial-capitalism’s and the medical and wellness industrial complexes’ individualizing constructions of mental health and illness. The first part is comprised of lyric poems that conceptually foreground the mediated and/or dissociated psychology of the speaker in the digital age. The second part draws on the form of the feminist surrealist short story to defamiliarize themes such as nature, medicalization, and neoliberal routine. Finally, the third part hybridizes poetry and the essay in a case study of three monuments from 1962 that I see as co-featuring in creating our dominant societal affective atmosphere: the International Style building, Place Ville Marie, erected as an “archetype of technological know-how” in its “physical, aesthetic, and emotional presence” (Place Ville Marie: Montreal’s Shining Landmark, Vanlaethem, France et al., 9), and the concurrent publication of two psychological texts by major emotion theorists, Silvan Tomkins’s Affect Imagery Consciousness and Magda Arnold’s Story Sequence Analysis. \n \nWith references, mainly, to affect theory and various figures of the modernist canon, I plumb the material and ideological origins of our cruelly optimistic state of political and climate crisis. I examine, further, the technological prescriptions and products that have become ubiquitous. How does our dependence on such products and diagnostic and commodifying formulas of thinking shape our emotional and physical dynamics with ourselves, others, and the land? How do our products and formulas alter or distort the way we project ourselves in the past, present, and future? Pareidolia—inspired by contemporary thinkers like Lisa Robertson and Dionne Brand as much as Sianne Ngai and Anna Tsing—attends to the porous and temporally fluid relationship between the body, mind, technology, and environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.031 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".