MétaCan
Menu
Back to cohort
Record W3032326801 · doi:10.1037/tra0000629

Moral and mental health challenges faced by maternity staff during the COVID-19 pandemic.

2020· article· en· W3032326801 on OpenAlexaff
Antje Horsch, Joan Lalor, Soo Downe

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2020
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsTrinity College
Fundersnot available
KeywordsPsycINFOPandemicBreastfeedingPsychologyNursingSocial distanceMental healthPersonal protective equipmentCoronavirus disease 2019 (COVID-19)MedicineMEDLINEPolitical sciencePsychiatryLawPediatrics

Abstract

fetched live from OpenAlex

The current COVID-19 pandemic places maternity staff at risk of engaging in clinical practice that may be in direct contravention with evidence; professional recommendations; or, more profoundly, deeply held ethical or moral beliefs and values, as services attempt to control the risk of cross-infection. Practice changes in some settings include reduction in personal contacts for tests, treatments and antenatal and postnatal care, exclusion of birth partners for labor and birth, separation of mother and baby in the immediate postnatal period, restrictions on breastfeeding, and reduced capacity for hands-on professional labor support through social distancing and use of personal protective equipment. These enforced changes may result in increasing levels of occupational moral injury that need to be addressed at both an organizational and a personal level. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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)0.012
metaresearch head score (Gemma)0.049
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 score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.529
GPT teacher head0.577
Teacher spread0.048 · 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

Citations81
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePsychological Trauma Theory Research Practice and PolicySame topicPosttraumatic Stress Disorder ResearchFrench-language works237,207