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Record W3170928086 · doi:10.1177/23779608211009000

Parent-Child Attachment: A Principle-Based Concept Analysis

2021· review· en· W3170928086 on OpenAlexaff
Elena Ali, Nicole Létourneau, Karen Benzies

Bibliographic record

VenueSAGE Open Nursing · 2021
Typereview
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Introduction Extensive evidence indicates that the quality of parent-child attachment is related to later socio-emotional and physical health outcomes. Yet, despite its clinical relevance, the parent-child attachment concept has been inconsistently applied across the disciplines of nursing, medicine and psychology and is often conflated with parent-child bonding in nursing literature. Objectives To provide readers with a critical analysis of the concept of parent-child attachment. Using a principle-based concept analysis, we clarify how parent-child attachment is understood from a multidisciplinary perspective to advance the use of this concept in nursing practice. Concept Description: Attachment is an affectionate, mutually satisfying relationship between a child and a caregiver that serves the purpose of making the child feel safe, secure, and protected. Discussion In this principle-based concept analysis, each definitional (i.e., epistemological, pragmatic, linguistic, and logical) principle contributes to an understanding of the strengths and limitations of the state of science about this concept. The discussion highlights how applying the concept of parent-child attachment security may offer exciting and promising opportunities for nursing clinical work with families. Conclusion The understanding of the concept of parent-child attachment differs among disciplines of nursing, medicine and psychology and offers exciting and promising opportunities for clarity and collaborative, multi-disciplinary work.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.095
GPT teacher head0.521
Teacher spread0.426 · 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 designOther design
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

Citations42
Published2021
Admission routes1
Has abstractyes

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