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Record W4395446353 · doi:10.2979/amerreli.5.1.11

Algorithms, Conspiracies, and Cosmologies

2023· article· en· W4395446353 on OpenAlexaff
Jérémy E. Cohen

Bibliographic record

VenueAmerican Religion · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMisinformation and Its Impacts
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer scienceAlgorithm

Abstract

fetched live from OpenAlex

As I sift through my mess of field notes, interview transcripts, online databases, and conspiracy theory websites, trying my best to untangle a complex millennial cosmology, I come to realize that my confusion fits my subject matter.The millennial conspiracists who construct elaborate hierarchical conspiracies have developed an equally confusing-to me-understanding of life, the universe, and everything. 1 The millennial cosmology figures the presence of good and evil extraterrestrials, ascended masters, chakras, universal laws, interplanetary telepathic communication, and multiple dimensions and universes run on metaphysical algorithms.The conspiracies figure the presence of good and evil extraterrestrials, an evil cabal, demonic pizza restaurants, Jewish bankers, strong artificial intelligence, microchips inside vaccines, child sacrifice, and algorithmic bias.1 As a movement with diffuse beliefs, cosmologies, and practices, it is difficult to gauge how many people identify with the millennial conspiracist worldview.One of my research communities lists 337 separate meet-up groups around the world.Their now defunct online social platform had 18,000 members by late 2020.These communities are connected by claims of the human capacity to evolve into spiritualized bodies, a belief in advanced extraterrestrial life, reliance on alternative health practices, and a general distrust of authority and mainstream sources of information.

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 score0.521
Threshold uncertainty score0.589

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 studies0.0000.001
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 head0.032
GPT teacher head0.356
Teacher spread0.324 · 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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