MétaCan
Menu
Back to cohort
Record W4393003225 · doi:10.1177/27538699241240100

“Can the radical other be operationalized?” A commentary to Heinz Streib’s article “Wisdom and the Other: Responsiveness in development between the egocentric and xenocentric style”

2024· article· en· W4393003225 on OpenAlexaff
Bernhard Leistle

Bibliographic record

VenuePossibility Studies & Society · 2024
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsOperationalizationMoralityEpistemologyPsychologyPhenomenology (philosophy)SOCRATESPerspective (graphical)PhilosophyPsychoanalysis

Abstract

fetched live from OpenAlex

In this commentary to Heinz Streib’s article “Wisdom and the Other,” I provide a different reading of Bernhard Waldenfels’ responsive phenomenology. In contrast to the author, I stress the relationality of Waldenfels’ conception of the radical Other which can only appear experientially by withdrawing from a meaning-bestowing, ordering response. It is only indirectly, through the inevitable insufficiency of our responses that the Other or alien presents itself. The intertwinement of alienness and order, I argue, leads to a responsive ethics in which morality und amorality must be distinguished contextually and situationally, not in absolute, timeless terms. This is problematic for Streib’s attempt to operationalize the radical Other in wisdom research, in at least two respects. For one, to integrate the radical Other as an evidential object into psychological models of wisdom goes against the alienness of the Other in Waldenfels. Secondly, from the perspective of a relational responsive ethics, wisdom cannot be defined by certain psychological and ethical traits. This second point is illustrated by Waldenfels’ understanding of Socrates which deviates significantly from the one presented in the article.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.066
GPT teacher head0.400
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuePossibility Studies & SocietySame topicAging and Gerontology ResearchFrench-language works237,207