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Record W2620985441 · doi:10.12968/bjom.2017.25.6.372

Exploring community midwives' perceptions of their work experience after deployment in the rural areas of Chitral, Pakistan

2017· article· en· W2620985441 on OpenAlex
Mehtab Qutbuddin Jaffer, Rafat Jan, Karyn Kaufman, Arusa Lakhani, Shahnaz Shahid

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Midwifery · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsQualitative researchPerceptionWork (physics)Rural communityNursingMedicineSociologyPsychologySocioeconomics

Abstract

fetched live from OpenAlex

Aims: To explore the perceptions of community midwives about their work experiences after deployment in the rural settings of Chitral, Khyber Pakhtunkhwa, Pakistan. Methods: A qualitative descriptive approach was used, conducting in-depth semi-structured interviews with 13 community midwives. Findings: The three major themes that emerged from the analysis of the data were: (1) rural community midwives' perceptions of their role and competencies, (2) factors facilitating and hindering the rural community midwives' ability to function, and (3) continuation of community midwives' services in the future. Conclusions: The study findings highlighted the factors that empower and obstruct community midwives in providing services in rural areas. The majority of the community midwives felt empowered because of their increased earning capacity and enhanced competencies in performing their roles. However, some of them shared challenges in terms of socio-cultural and financial constraints. These findings have important implications for midwives working in rural areas.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.322
Teacher spread0.254 · 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