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Record W1506754532 · doi:10.1080/15551024.2010.508212

Compassion, Dialogue, and Context: On Understanding the Other

2010· article· en· W1506754532 on OpenAlexaff
Roger Frie

Bibliographic record

VenueInternational Journal of Psychoanalytic Self Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsPsychologyContext (archaeology)CompassionPsychotherapistEpistemologyPsychoanalysisSociologyPhilosophy

Abstract

fetched live from OpenAlex

This article addresses the issues of human compassion and the capacity for dialogue in clinical and socio-political contexts. Taking its cue from Martha Nussbaum's recent explorations of compassion, this work argues against the classical psychoanalytic account of human nature that is rooted in the ideas of Hobbes, Nietzsche, and Freud. Instead, a view of human sociality and analytic interaction that expands on the works of Kohut and continental philosophers and analysts, particularly Martin Buber, Ludwig Binswanger, and Emmanuel Levinas, is developed. This work is interested in demonstrating the relevance of a “dialogical stance” that accounts for the Other as a unique person, not a generalized Other. It is suggested that compassion and dialogue are both grounded in our fundamental situatedness with the Other. Compassion is the attitude, and dialogue is the capacity, that we bring to human engagement, whether in the clinical domain or beyond.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0110.072
Scholarly communication0.0200.029
Open science0.0020.020
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.365
Teacher spread0.327 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations16
Published2010
Admission routes1
Has abstractyes

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