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Record W2035485981 · doi:10.1089/eco.2009.0045

Eco-Spiritual Helping and Postmodern Therapy: A Deeper Ecological Framework

2010· article· en· W2035485981 on OpenAlex
Fred H. Besthorn, Dan Wulff, Sally St. George

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.

Bibliographic record

VenueEcopsychology · 2010
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsNatural (archaeology)PostmodernismEnvironmental ethicsAppealConsciousnessEcological crisisIntellectSociologyPsychologyEpistemologyHistoryPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Along with some substantial benefits of important scientific and technological advancements in the modern era, we have experienced a significant alienation of humans from the rest of the natural world, manifested by many forms of violence against nature and other living beings. Modernistic therapy approaches and models tend to fragment the person as a whole, focusing on the individual human intellect and/or emotion as being superior or more fundamental than the other natural living processes of our collective world. In this article we propose an alternative model called Eco-Spiritual Helping (ESH) for expanding human consciousness of, and creating reconnection with, the natural world. Historical roots of the model are presented along with the central themes. A composite case example illustrates how ESH can partner with postmodern therapeutic approaches in order to create a deeper ecological approach to helping. We conclude with an appeal for mental health professionals to aid in the reconnection of humans with the natural world.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.319
Teacher spread0.299 · 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