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Record W7108689321 · doi:10.51743/cpe.543

Towards resilience: an approach from Edith Stein’s personal letters

2025· article· es· W7108689321 on OpenAlexaff

Bibliographic record

VenueCUADERNOS DE PENSAMIENTO · 2025
Typearticle
Languagees
FieldMedicine
TopicPhilosophy, Health, and Society
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsCompetence (human resources)Meaning (existential)Phenomenology (philosophy)Perspective (graphical)Face (sociological concept)Meaning of lifePsychological resilienceOrder (exchange)

Abstract

fetched live from OpenAlex

The term “resilience” suffers the fate of all terms that are used in an inflationary manner: They lose meaning and explosiveness. This article aims to give the term back its fullness by means of a phenomenological view according to Stein’s eidetic phenomenology. For this purpose, Edith Stein’s resilience, which distinguished her as a person, will be analysed. In addition, the way in which she fostered andshaped resilience in others will be highlighted. The concept of competence is used for the analysis. Four core competencies describe the sources of psychological resilience: self-competence, other-competence, fact-competence and meaning-competence, because resilience is formed in an adequate relationship to myself, to others or to otherness, to reality and to meaning. These competencies are each presented in Edith Stein’s life, in her support of others and in their relevance for the formation of resilience. The analysis keeps Stein’s philosophical or theological views in mind, but draws on her letters to individuals.One can state that in order to make sense of life, even of the adversities in life, the perspective of meaning is needed in all individual competences. Stein can even find the connection to meaning competence in the fact competence. Sie sees it also in the orientation towards others and in the understanding for them. Self-competence must also flow into meaning-competence; then we become able to face life adequately. This is ultimately the ability of the resilient person.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.314
Teacher spread0.286 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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