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Record W2052260327 · doi:10.1386/ijcm.3.1.77/1

Music for mothers and babies living in a prison: A report on a special production of BebBab

2010· article· en· W2052260327 on OpenAlexaff
Helena Rodrigues, Anabela Leite, Cristina Manuela Martins de Faria, Irene Monteiro, Paulo Maria Rodrigues

Bibliographic record

VenueInternational Journal of Community Music · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsChild, Adolescent and Family Mental HealthDiscovery Air (Canada)
Fundersnot available
KeywordsPrisonWork (physics)PsychologyProduction (economics)PedagogyDevelopmental psychologySociologyCriminologyEngineering

Abstract

fetched live from OpenAlex

BbBb is a project that combines education and artistic performance in a process that is centred on music, babies and their parents. We discovered that previous productions resulted in a very strong bonding among parents and babies, families and the community. In 2008 we implemented a special production in a prison in Oporto where mothers live with their own children until the age of four. Here we describe the ideas, goals and strategies of the project, we look at its artistic aspects and we report the impact it had on the participants, based on interviews conducted after the project was concluded. The report of this practical work is integrated in a reflection about the general issue of music in prison, and we explain why we believe BebBab can be a case study helping to establish guidelines for future work, particularly in the case of imprisoned mothers and babies.

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)0.003
metaresearch head score (Gemma)0.013
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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0130.003
Scholarly communication0.0030.001
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.083
GPT teacher head0.293
Teacher spread0.209 · 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

Citations32
Published2010
Admission routes1
Has abstractyes

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