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Record W4281492393 · doi:10.23987/sts.110291

“It’s All in Your Head”

2022· article· en· W4281492393 on OpenAlex
Phoebe Friesen, Émilie Dionne

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

VenueScience & Technology Studies · 2022
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversité LavalMcGill University
Fundersnot available
KeywordsDeceptionMAGIC (telescope)RealmCausationPsychologyIllusionEpistemologyAestheticsPsychoanalysisMedicineSocial psychologyPhilosophyCognitive psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In this contribution, we examine three stories of beneficent deception in medicine: the placebo machine invites children with treatment-resistant disorders to enter a high-tech machine and let their brains heal themselves; dementia villages extend validation therapy to the lived environment of geriatric care, supporting the illusion of living in the past through architecture; provocative testing relies on tricking patients suspected of fakery into experiencing seizures so that they can receive an expedited diagnosis. Enlisting the concept of misdirection from the realm of magic and theoretical contributions related to ‘stories’ and ‘storying practices’ from Feminist Science and Technologies Studies, we ask of each: Who is being deceived? Which ‘characters’ are given voice when these stories are told? How is deception justified? Following this, we question the onto-epistemological assumptions of reality and causation underlying each story and offer concluding thoughts on how ‘magic’ could be embraced within medicine and research.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.369
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.440
Teacher spread0.326 · 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