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Record W4236904995 · doi:10.1111/area.12339

Demonic geographies

2017· article· en· W4236904995 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueArea · 2017
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMaterialismHappinessEpistemologyOntologyPremiseMeaning (existential)SociologyHuman geographySocial sciencePhilosophyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Demonic geography is an approach to practising human geography that operates from the premise that there are no such immaterial entities as ‘souls’, ‘spirits’, ‘minds’, integrated stable ‘selves’ or conscious ‘free will’. This paper elaborates the theoretical framework of demonic geography by spelling out how it is different from non‐representational theory and by articulating it within recent developments in experimental psychology, neuroscience and the philosophy of mind. Counterintuitively, the paper shows that the deflationary, materialistic ontology of human nature espoused by demonic geography need not lead to meaninglessness, unhappiness or the collapse of moral behaviour. Instead, subscribing to demonic geography opens up new ways to find meaning, to pursue happiness and to live the good life.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.357
Teacher spread0.308 · 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