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Record W941072126 · doi:10.18357/illumine2120031571

Our Spiritual Nature: An Exploration into Nature Experiences, Spirituality and Environmental Responsibility

2010· article· en· W941072126 on OpenAlexaff
Annick De Witt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpiritualityGriefAestheticsSoulConsciousnessPsychologyWildnessSociologyEnvironmental ethicsSocial psychologyEpistemologyPhilosophyLawPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

In this autobiographical essay, I reflect on the healing and transformational power of ritual. Here, ritual is perceived as a holistic form of communication that incorporates and unites the material human body, the physical earth, and the non-tangible realms of emotion, intuition, spirit, and thought. The processes of ritual rebalance the flow of energy between and within these diverse elements, and act as a catalyst for change in the participant’s consciousness. Thus, a ritualised act can change the very order of the world itself. The performance of the personal ritual described in this essay was sparked by my grief over the death of someone I loved very much – my mother.  The symptoms of my grief were a physical expression of my lack of knowledge about how to live after her death, and did not diminish until I had turned myself over fully to the practice of the ritual. The ritual itself was a simple one: a daily walk up a mountain path to sit in a particular tree. Indeed, at the time, I did not think of this daily act as ritual. Nonetheless, the performance of the ritual honoured and reconnected me to early childhood memories of my mother, and to the earth’s body, and also permitted me to recognise and engage with the anima locus, or place soul, of the mountain tree.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.308
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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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