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Record W2821577387 · doi:10.5944/rduned.22.2018.22276

La aplicación de la adopción abierta en España. Una visión en cifras y algo más

2018· article· es· W2821577387 on OpenAlexaboutno aff
Sara Díez Riaza

Bibliographic record

VenueRevista de Derecho de la UNED (RDUNED) · 2018
Typearticle
Languagees
FieldMedicine
TopicEthics and bioethics in healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Han trascurrido dos años desde la implementación de la adopción abierta en España. Por ello, es necesario una primera aproximación para saber cómo se está aplicando en las diferentes Comunidades Autónomas que integran el territorio español. Los resultados no son muy halagüeños para esta nueva institución de adopción abierta pero sí son esperanzadores, pues poco a poco se va abriendo el interés en esta nueva vía de protección de los menores en España, siguiendo la estela de otros países (Estados Unidos de América, Gran Bretaña, Austria, Canadá o Nueva Zelanda) donde sí está dando muy buenos resultados. Quizás requiramos un cambio de mentalidad hacia la adopción abierta. El interés superior del niño ha de primar en todas las instituciones de protección y, si salvaguardar algunas de las relaciones con la familia biológica es beneficioso a ese interés, se debe potenciar venciendo las resistencias iniciales tanto de las familias como de las instituciones públicas.Two years have happened from the implementation of the adoption opened in Spain. For it, the first approximation is necessary to know how it is applied in the different Autonomous Communities that integrate the Spanish territory. The results are not very pleasing for this new institution of opened adoption but if they are encouraging gradually the interest is opened in this new route of protection of the child in Spain, in the wake of the other countries (The United States of America, Great Britain, Austria, Canada or New Zealand) where if it is giving very good results. Probably we need a change of mentality towards the opened adoption. The best interest of the child has to occupy first place in all the institutions of protection and if to safeguard some of the relations with the biological family is beneficial to this interest must be promoted conquering the initial resistances both of the families and of the public institutions.

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)0.018
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.402
Teacher spread0.382 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2018
Admission routes1
Has abstractyes

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