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Record W2945423938

Deep Ecology and the Roots of Resilience: The Importance of Setting in Outdoor Experienced-based Programming for At-risk Children

2018· article· en· W2945423938 on OpenAlexaff
Michael Ungar

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRecreationPsychological resilienceWildernessResilience (materials science)EcologyPsychologyAdventurePublic relationsSociologySocial psychologyPolitical scienceComputer scienceArtificial intelligenceBiology
DOInot available

Abstract

fetched live from OpenAlex

Therapeutic, educational or recreational programming that promotes a deep and meaningful connection with nature is frequently used by social workers and allied professionals to mitigate risk and promote resilience in children. This paper addresses the bias found among those who support these programs which devalues the urban/developed environments in which most at-risk populations reside in favour of pristine/natural settings. Combining the philosophy of deep ecology and principles of social justice with findings from the study of risk and resilience, it will be shown that outdoor experience-based programming (OEP) contributes best to healthy outcomes in at-risk populations when programming provides participants an appreciation for the complexity and challenges they face living in the familiar environments they call home. The link between outdoor experience-based programming (OEP) and positive outcomes among participants whom are members of at-risk populations has been shown in a number of studies (Burns, 1999; Cooley, 1998), though results are methodologically problematic and met frequently with calls for further research (Davis-Berman & Berman, 1999; Ewert, McCormick & Voight, 2001; Neill & Heubeck, 1998). Despite this, there is enthusiastic support for these programs from professionals, communities and even children themselves (see Gillis & Ringer, 1999; Hirsch, 1999; McGowan, 1997). OEP includes a wide spectrum of activities that are offered to at-risk children from wilderness adventure and therapeutic recreation to environmental awareness, education and activism to promote social and environmental policy reform. Unfortunately, a review of the research on OEP shows that nature based programming does not sustain long-term change in individual participants and that the most positive outcomes result from the challenge of hands-on experience and constructive social interactions rather than immersion in nature, increased environmental awareness, or meaningful engagement in social action. Neither an appreciation for the intrinsic value of others and their communities, nor the growth of a sustained empathy for a biocentric (nature-centred) perspective has been shown to result directly from programming taking place out of doors. Nature as setting is often valued more by the facilitators of these programs than the participants (Witman, 1993). In this paper, I deconstruct this problem in an effort to provide a more theoretically sound argument for OEP that shows how programming can mitigate risk and produce more enduring socially just and environmentally sensitive outcomes. Drawing on the literature concerned with the philosophy of deep ecology and social justice and studies of risk and resilience I will show that the utilitarian view of nature underlying OEP reinforces an understanding of nature as “other” than that which participants experience as their environment. My goal is to challenges the way OEP emphasizes contact with pristine, unpopulated nature. The “natural” but populated environments in which at-risk children live (whether urban or rural) are made to seem different and dysfunctional when compared with the settings in which OEP takes place. The result has been further marginalization of the environment the child identifies as home. Furthermore, lessons learned from time spent in pristine nature cannot be transferred from this alien setting to the child’s own populated home context after programming is complete without the prolonged assistance of professional helpers. These helpers are needed to create continuity and integration of the lessons learned during OEP. Discussion of this role during and after programming is particularly germane to social workers. As a profession, we are frequently part of these programs as administrators and facilitators, and more than any other discipline have historically been concerned with a focus on the person-in-environment (Ungar, 2002a; Wakefield, 1996;). Specifically, my argument is two-fold. First, we require a more deeply ecological and socially just orientation to programming in order to address our commonality with nature which transcends the dichotomous thinking that emphasizes only those similarities found between humans and the natural pristine world. We need instead to construct a view of nature as being all around us, even in urban environments. Second, we know from years of study by social workers of the person-in-environment and the literature on risk and resilience that growth and adaptation must necessarily take place in one’s own environment (human and natural) to be effective. Lessons a child learns outside that which is familiar may be valuable, but are seldom adequate to cope with the immediate health challenges he or she faces day-to-day in the real world setting in which he or she lives.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.540
Teacher spread0.454 · 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.

Study designObservational
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

Citations8
Published2018
Admission routes1
Has abstractyes

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