Bibliographic record
Abstract
Postpartum depression is a significantly debilitating condition that affects up to 12% of women, resulting in immense distress to the mother, child, and family. Conventional therapy involves the use of psychotherapy and antidepressant medications. Nevertheless, more women are turning towards alternative medicine such as acupuncture due to recent research citing its effectiveness and reduced potential for adverse effects. This paper reflects on the current evidence for the use of acupuncture as monotherapy, the challenges encountered in acupuncture research and its effectiveness as adjunctive therapy in postpartum depression. RésuméLa dépression post-partum est une condition débilitante importante qui affecte jusqu’à 12% des femmes, entraînant une détresse immense pour la mère, l’enfant et la famille. La thérapie conventionnelle implique l’utilisation de psychothérapie et d’antidépresseurs. Néanmoins, plus de femmes se tournent vers la médecine alternative comme l’acupuncture en raison de la recherche récente citant son efficacité et sa réduction du potentiel d’effets indésirables. Cet article se penche sur les preuves actuelles de l’utilisation de l’acupuncture en monothérapie, les défis rencontrés dans la recherche en acupuncture et son efficacité en tant que thérapie d’appoint dans la dépression post-partum.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".