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Record W7131318494 · doi:10.1521/jsyt.2025.44.3.57

More Than Resistances: Mutual Support as a Provocation to Family Intervention in Chile's Child Protection System

2025· article· en· W7131318494 on OpenAlexvenueno aff
Miguel Ángel Campillay-Araya, Javiera García-Meneses, Jorge Faúndez, Javiera Pavez Mena

Bibliographic record

VenueJournal of Systemic Therapies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
Fundersnot available
KeywordsDysfunctional familyChild protectionPsychological interventionIntervention (counseling)Neoliberalism (international relations)Action (physics)Set (abstract data type)Mutual aid

Abstract

fetched live from OpenAlex

Practitioners who implement family interventions in Chile's child and adolescent policy confront daily tensions. These difficulties arise from the dysfunctional operation of this institutional framework and are a consequence of the neoliberalism imposed on the Chilean state during the civil-military dictatorship (1973–1990). In response, practitioners carry out discreet, precarious, and fragmented forms of professional resistance that remain confined to the individual sphere of action of those who enact them. In this article, we propose that mutual support can be a practice that amplifies the effects of these professional resistances within family intervention. Drawing on individual interviews with practitioners working in Chile's child and adolescent policy, the study analyzes gestures that run counter to the neoliberal logics embedded in Chile's child-protection policy and in the professional subjectivities of those who implement it. From a vulnerable position, these professionals must know how to strategize to survive and safeguard their work with families.

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)0.008
metaresearch head score (Gemma)0.015
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 score0.009
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.017
Scholarly communication0.0040.003
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.316
Teacher spread0.298 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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