MétaCan
Menu
Back to cohort
Record W4410213402 · doi:10.32388/ccfty8.2

Reporting and Subjectivity Traps: A Brief Opinion Article on Consciousness as Belief

2025· preprint· en· W4410213402 on OpenAlexaff
Antonio Martín, Martin O'Dea

Bibliographic record

VenueQeios · 2025
Typepreprint
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsSubjectivityConsciousnessPsychologyEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This work examines what we consider to be the two main limitations in consciousness science: the reliance on subjective reporting and the assumption of a coherent self. We propose that consciousness may function more as a belief system than an empirically verifiable fact, shaped by the subjective nature of experience and constrained by how we report it. Lacking objective evidence beyond self-reports, even advanced machines might mimic conscious behavior under specific conditions. Concepts like phenomenological zombies—beings physically identical to us but devoid of consciousness—highlight the challenge of distinguishing true conscious experience from mere behavioral mimicry. Experimental designs frequently conflate metacognition (beliefs about perception) with consciousness itself, as seen in Higher-Order Thought theories. These frameworks suggest that our sense of being conscious may stem from metacognitive processes, often resulting in cognitive biases. Studies on brain regions associated with metacognitive accuracy further blur the distinction between consciousness and belief. Additionally, phenomena like delusional misidentification syndromes challenge the assumption of a stable, coherent self that reliably perceives and reports reality. By interrogating these assumptions, we reconsider consciousness not as an inherent property but as an adaptive construct shaped to enhance survival. This perspective calls for a reevaluation of the fundamental nature of consciousness and the correct approach to studying it.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.718

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)0.0000.000

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 head0.058
GPT teacher head0.334
Teacher spread0.276 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueQeiosSame topicMental Health and PsychiatryFrench-language works237,207