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Record W1499005232

A GROUNDED THEORY STUDY FOR ANTENATAL CARE IN KENYA

2013· article· en· W1499005232 on OpenAlexaff
Joyce Owino, Frances Legault, Hazel Miseda Mumbo, Odhiambo Odera, Mary Evelyn Ayugi

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2013
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGrounded theoryChildbirthContext (archaeology)NursingReferralQualitative researchHealth carePreparednessPsychologyMedicineSociologyPregnancyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the study was to analyze nurse–client interaction processes in rural health facilities. This was an inductive, qualitative, grounded theory study. Constant comparative analysis of data was used to generate themes, concepts and theoretical statements. Six main concepts emerged from data: Willingness of mother to attend antenatal clinic, reciprocal exchange of information, nursing care and treatment, focused preparation of mother, evaluating readiness for delivery within the rural context and referral of client. These concepts were key to the generation of “Owino’s theory of nurse-client interactions for childbirth preparedness”. Nurse-client interaction processes in preparation for delivery by a skilled attendant is influenced by the complex rural context. High quality interaction should help the nurse and mother rise above contextual challenges.

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)0.014
metaresearch head score (Gemma)0.010
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 score0.014
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.077
GPT teacher head0.383
Teacher spread0.306 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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