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Record W4378745978 · doi:10.3389/fpsyg.2023.1154865

Martin Buber: guide for a psychology of suffering

2023· review· en· W4378745978 on OpenAlexaff
Roger G. Tweed, Thomas P. Bergen, Kristina K. Castaneto, Andrew G. Ryder

Bibliographic record

VenueFrontiers in Psychology · 2023
Typereview
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsConcordia UniversityJewish General HospitalKwantlen Polytechnic UniversityDouglas College
Fundersnot available
KeywordsDyadPsychologyCriticismEpistemologyPoint (geometry)Social psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Martin Buber was untrained in psychology, yet his teaching provides helpful guidance for a psychological science of suffering. His ideas deserve attention at three distinct levels. For each of these, his ideas align with research findings, but also push beyond them. At the individual level, Buber's radical approach to relationships disrupts typical social cognitive cycles of suffering and can thereby build a defense against suffering. At the community level, he provides guidance that can help create a society that cares for people who suffer. At the dyadic level, Buber's guidance also matters. His ideas point toward a therapeutic dyad that can help address suffering when the individual and community responses are not sufficient. Specifically, he guides us toward a holistic view of the person that transcends labels and also toward ineffable human relations. Here again, his ideas align with empirical research, but push beyond. Buber's unique take on relationships has much to offer scholars seeking to understand and alleviate suffering. Some might perceive Buber as ignoring evil. That possible criticism and others deserve consideration. Nonetheless, readiness to adjust theory in response to Buber and other psychological outsiders may be valuable when developing a psychology of suffering.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.466
Teacher spread0.375 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2023
Admission routes1
Has abstractyes

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