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Record W7131238190 · doi:10.1521/jsyt.2025.44.3.37

Casa Tonalá: Un Espacio de Justicia, Cuidado y Comunidad

2025· article· en· W7131238190 on OpenAlexvenueno aff
Marina González Gutiérrez, Brenda Abril Cruz Coronilla, Andrea Cabriales Torrijos, Mauricio Duarte Araujo, Raquel Laniado Amiga

Bibliographic record

VenueJournal of Systemic Therapies · 2025
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPersonaRetirement communitySocial relationshipCommunity participation

Abstract

fetched live from OpenAlex

El artículo presenta a Casa Tonalá, un espacio terapéutico y comunitario en la Ciudad de México cuyo propósito es ofrecer acompañamiento desde una ética feminista, decolonial y narrativa, alejada de modelos tradicionales y patologizantes. Casa Tonalá surge como respuesta a la necesidad de prácticas dignas y justas de salud mental, centradas en la colectividad, la hospitalidad y el aprendizaje continuo. El proyecto se sostiene mediante voluntariado, talleres y diplomados que promueven la autogestión y la participación comunitaria. A través del Centro de Atención Comunitaria (CACT), se ofrecen sesiones solidarias de Terapia de Sesión Única (TSU) que priorizan la agencia y sabiduría de las personas consultantes. La casa se entiende como un organismo vivo en constante transformación, donde se honra la pluralidad de voces, la escucha activa y el cuidado mutuo. Casa Tonalá propone una forma artesanal, política y ética de acompañamiento terapéutico orientado hacia la justicia social y la construcción de mundos más dignos.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.034
GPT teacher head0.422
Teacher spread0.389 · 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 designNot applicable
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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