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Record W398169678

FAMILY PLANNING SURVEY AMONG ETHIOPIAN DOMESTIC DISTRIBUTION CORPORATION EMPLOYEES IN ADDIS ABABA

2017· article· en· W398169678 on OpenAlexaboutno aff
Mathewos Wakbulcho

Bibliographic record

VenueEthiopian Journal of Health Development · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsFamily planningDiscontinuationQuarter (Canadian coin)CorporationPopulationDistribution (mathematics)Developing countryFamily medicineWork (physics)MedicineService (business)SocioeconomicsDemographyGeographyEnvironmental healthBusinessEconomic growthResearch methodologySociologyEngineeringMarketingFinance
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT: Of the 900 employees in the Head Quarter of the Ethiopian Domestic Distribution Corporation (EDDC), in the city of Addis Ababa, 201 were randomly selected and involved in the survey for assessing attitude, knowledge and utilization of Family planning. Results showed that 94% of the respondents knew at least one method of family planning. Eighty six percent of them had a positive attitude towards the service. Currently, 39% of the study population are using different contraceptive methods. No statistical significant (P> .001) difference was found in knowledge, attitude, and practice of Family Planning between male and female respondents. Among non-users, 47% (55/117) intended to use contraceptives methods in the future. According to this information it was assumed that the number of Family Planning Service utilizers in an organized work area reached 71 % , considering current users as continuous acceptors. Sources of Family Planning information and factors related to discontinuation and non-users were discussed. In conclusion an in depth study regarding the lanching of a national work area based FP programmes is highly recommended. [Ethiop. I. Health Dev. 1993;7(2):85-911

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 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)0.004
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.077
GPT teacher head0.375
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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