MétaCan
Menu
Back to cohort
Record W4312863675 · doi:10.2478/ijtr-2022-0004

Stories of a Transformation in Consciousness: A self-study to ground narrative inquiry research in consciousness education

2022· article· en· W4312863675 on OpenAlexaff
Laurel Waterman

Bibliographic record

VenueInternational Journal for Transformative Research · 2022
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConsciousnessNarrativeSocial consciousnessMaterialismMainstreamEpistemologySociologyPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This article is a narrative account of my search for knowledge about the nature of consciousness, and the implications of my findings for research and education. For over three decades, I accepted the dominant script presented to me through my education, both formal and informal, which assumes that the brain creates consciousness. Further, when the brain dies, consciousness dies with it. However, the unexpected death of my partner pushed me to investigate these assumptions. Through reading consciousness studies research, I learned of considerable empirical evidence that challenges the materialist paradigm taken for granted in the educational and social cultures in which I was raised. An analysis of the literature, combined with the learning gained from my own experiences, transformed my understanding of reality. This led me to radically question the ontological and epistemological assumptions of mainstream educational and social research. I end with a call for the development of an integral framework for consciousness education that would liberate researchers and educators from the materialist paradigm that is so deeply embedded in Western culture and contribute to an emerging postmaterialist worldview.

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)0.011
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.206
GPT teacher head0.566
Teacher spread0.360 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal for Transformative ResearchSame topicSocial Representations and IdentityFrench-language works237,207