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Record W2019913988 · doi:10.1080/02650530802099916

POWER, CARE AND VULNERABILITY: CONSIDERING USE OF SELF IN CHILD WELFARE WORK

2008· article· en· W2019913988 on OpenAlexaff
Deena Mandell

Bibliographic record

VenueJournal of Social Work Practice · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPersonhoodOppressionSocial workSociologyVulnerability (computing)Context (archaeology)Power (physics)IndividualismWelfareIdentity (music)Social psychologyPsychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

The construct of ‘use of self’ in social work has fallen out of favour due to its focus on the individual and its roots in the original countertransference literature, where issues of power were largely neglected. On the other hand, structural, anti‐oppression and critical social work have tended to disregard the individual worker's personhood except for social identity as they focus on issues of power. This division leaves a gap in our understanding of how personal and social selves interact in social work encounters. Working with children and families in the context of child protection/child welfare can call forth every aspect of a worker's personhood. Where authority and care are closely intertwined in responding to vulnerability, personal, social and professional dimensions cannot be separated. This chapter argues that attention to both dimensions — authority and care — is required in all social work interactions, focusing in particular on the field of child welfare, where an imbalance of power and vulnerability in the social work relationship is underscored and where care can be compromised as a result. Suggestions for fostering critical reflection in the child welfare context are offered.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0160.061
Scholarly communication0.0160.015
Open science0.0020.013
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.349
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations72
Published2008
Admission routes1
Has abstractyes

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