MétaCan
Menu
Back to cohort
Record W4210977743 · doi:10.3389/fpsyg.2022.766283

Unpacking Relational Dignity: In Pursuit of an Ethic of Care for Outdoor Therapies

2022· article· en· W4210977743 on OpenAlexaff
Nevin J. Harper, Carina Ribe Fernee

Bibliographic record

VenueFrontiers in Psychology · 2022
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDignityWildernessPsychologyPsychotherapistAdventureEnvironmental ethicsEngineering ethicsLawPolitical scienceComputer scienceEcologyPhilosophy

Abstract

fetched live from OpenAlex

Dignity is a universal principle that requires us to treat every person as having worth beyond who a particular person is or what they do. Dignity is a complex and sometimes contested idea, that at times can be compromised in health care and allegedly also within the practice of outdoor therapy. Outdoor therapies comprise a range of therapeutic approaches including nature-based therapy, adventure therapy, animal-assisted therapy, forest therapy, wilderness therapy, surf therapy, and more. Within the literature of outdoor therapies there has been limited research on ethics related to common understandings of care concepts such as relational dignity and human rights. The aim of this paper is therefore to unravel briefly whether dignity in general, and relational qualities of dignified care more particularly, might be a useful concept to apply in order to support an ethical practice in outdoor therapies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.022
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.091
Scholarly communication0.0130.016
Open science0.0020.015
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.373
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in PsychologySame topicPatient Dignity and PrivacyFrench-language works237,207