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Record W7162123136 · doi:10.59236/emro.v26i7a8273

Mother-Child

2024· article· W7162123136 on OpenAlexaboutno aff
Stephanie Diaz

Bibliographic record

VenueEducational Media Reviews Online · 2024
Typearticle
Language
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationAbortionContext (archaeology)BreastfeedingLegislatureFamily planning

Abstract

fetched live from OpenAlex

Distributed by Kino RebeldeDirected by Andrea Testa2019, Streaming, 66 mins Mother-Child (2019), directed by Andrea Testa, is a powerful feature-length documentary that focuses on intimate interviews, held in consultation rooms at a public hospital in Argentina, of girls and young women grappling with unplanned pregnancies. The interviews center on the women’s knowledge and opinions about family planning, their decisions to proceed with or terminate their pregnancies, their support network, and their well-being. Woven throughout the interviews are beautiful but bittersweet shots of the women quietly breastfeeding and reflecting on their circumstances. The film takes a strong pro-choice position and takes place in the context of changing abortion legislation in Argentina at the time of filming. The young women, mainly teenagers, share gut-wrenching stories. One overcomes drug addiction, another survives a brutal attack by her partner, and another, only 13 years old, recounts learning she had a high-risk pregnancy due to an underdeveloped uterus. Many describe a lack of support from their partners and a few lack family support entirely, relying only on a close friend. The subjects’ decisions about whether or not to terminate their pregnancies are strongly influenced by fears, lack of information about and access to contraceptives, and cultural beliefs about abortion. Unnamed, off-camera interviewers, presumably social workers, offer support and briefly describe the legislative changes and cultural beliefs about abortion in their country, however these issues are not covered in-depth. Despite this, the film would be an excellent companion piece to additional readings and discussion about abortion generally and about the issue in Latin American countries, specifically in Argentina. Mother-Child is a Spanish language film that includes English subtitles. Awards:Best Mid-Length Documentary, Hot Docs Canadian International Documentary Film Festival. Canada (2020); Best International Documentary, Doqumenta, Querétaro Film Festival. Mexico (2020); Best International Youth Feature, FicValdivia International Film Festival. Chile (2020); Best Documentary Script, Argentores, Sociedad General de Autores. Argentina (2021); Best Documentary Film, Premios Cóndor. Argentina (2021).

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.010

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 head0.052
GPT teacher head0.396
Teacher spread0.344 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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