MétaCan
Menu
Back to cohort
Record W4392410300 · doi:10.47611/jsrhs.v12i4.5707

Postpartum Depression: A Sociocultural Review

2023· review· en· W4392410300 on OpenAlexaff
Vivian Dong

Bibliographic record

VenueJournal of Student Research · 2023
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsConestoga College
Fundersnot available
KeywordsPostpartum depressionSociocultural evolutionDepression (economics)PsychologyMedicineSociologyPregnancyAnthropologyBiology

Abstract

fetched live from OpenAlex

Postnatal Depression or “baby blues” is a serious medical condition that causes intense feelings of anxiety, sadness, and tiredness in mothers following childbirth. The condition affects 1 in 7 women in the US, up to 15% of all mothers. The condition is caused by many overlapping factors, including chemical imbalances in the brain and hormonal changes in the body which have been studied extensively in women who experience postpartum depression. Less research exists on the sociocultural factors of new mothers' living conditions and how they affect the development and severity of postpartum depression. In this article, we will study the socio-cultural factors that trigger postpartum depression, such as maternal mental health and fatigue. The effects of postpartum depression endanger both the mother and the child; its causes must be studied extensively to provide proper effective maternal support and care to ensure healthy parents and children.

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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.450
GPT teacher head0.593
Teacher spread0.143 · 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
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Student ResearchSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207