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Attachment Security as a Foundation for Kindness Toward Self and Others

2016· book· en· W2556365492 on OpenAlexaff
Phillip R. Shaver, Mario Mikulincer, Baljinder K. Sahdra, Jacquelyn T. Gross

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsKindnessPsychologyGenerositySelf-compassionFoundation (evidence)Openness to experienceSocial psychologyMindfulnessAttachment theoryCompassionAnxietyDevelopmental psychologyPsychotherapistPolitical science

Abstract

fetched live from OpenAlex

Based on attachment theory and decades of research on attachment processes and relationships, this chapter shows that attachment security, experienced in relationships with sensitive and responsive parents and partners across the life span, fosters positive attitudes toward both self and others, and also provides a foundation for desirable psychological states discussed in the Buddhist literature: mindfulness, self-compassion, and nonattachment. We review research involving children, adolescents, and adults showing that the major forms of attachment insecurity—anxiety and avoidance—interfere with healthy self-approval and self-acceptance, and also with kindness and generosity toward others. Self-acceptance and self-compassion are not “egoistic” in the negative sense; far from being psychologically and social destructive, they are foundations of openness and kindness toward others. The usual origin of attachment-related security is supportive relationships in childhood, but security can also be increased by later relationships and by laboratory and clinical interventions.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.028
GPT teacher head0.320
Teacher spread0.293 · 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
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

Citations49
Published2016
Admission routes1
Has abstractyes

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