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Record W4318217732 · doi:10.29173/pandpr29487

Phenomenological Empathy and the Professional Role in Recovery-Oriented Practice

2023· article· en· W4318217732 on OpenAlexvenueno aff
John Stigmar

Bibliographic record

VenuePhenomenology & Practice · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsIntentionalityEmpathyPresuppositionPsychologyInterpersonal communicationMeaning (existential)Phenomenology (philosophy)EpistemologyContext (archaeology)Relation (database)Interpretative phenomenological analysisValue (mathematics)Social psychologySociologyCognitive psychologyPsychotherapistComputer scienceQualitative researchSocial science

Abstract

fetched live from OpenAlex

This paper aims to show how a phenomenological theory of empathy can be used to achieve a close interpersonal relationship that serves to support shared decision making and recovery from mental health problems. This framework can also be seen as a way to maintain a professional distance in such relationships. First, the paper briefly describes the basics of shared decision making and recovery-oriented practice. Second, the paper presents the notion of second-person perspectivity, the “we-relation”, and the phenomenological term epoché as a background to discussing the possibility of performing a specific kind of epoché, which actively brackets taken-for-granted presuppositions and notions and instead facilitates a focus on the meaning of the other’s experience: a special kind of intentionality directed toward the other’s intentionality. Third, the paper notes that the aim of actively assuming an empathic attitude paves the way for a passive ethnographic epoché that allows for an exploration of the other’s personal world, which constitutes the context for meaning. In this way, we can increase the possibilities of developing a professional “we-relation” and minimizing the risk of emotional contagion. This is a skill that can be learned through training, and that can increase the possibility of developing a deeper interpersonal understanding that will be of value to recovery-oriented practice.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.311
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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