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The attitude of people towards the role of non-governmental organizations (NGOS) in post-boko haram insurgency in north-eastern part of Nigeria

2022· article· en· W4309608549 on OpenAlex

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

VenueGSC Advanced Research and Reviews · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsStratified samplingInsurgencyBoko haramChristian ministryState (computer science)Descriptive statisticsGeopoliticsPolitical sciencePsychologySocioeconomicsSociologyLawStatisticsPoliticsMathematics

Abstract

fetched live from OpenAlex

The study was designed to evaluate the attitude of people towards the role of non-governmental organizations (NGOs) in post-boko haram insurgency in north-easthen part of Nigeria. The researcher uses descriptive design of a survey type to collect relevant information. The sample size for the study was 359 participants comprising 25 staff of states ministry of health, and 334 respondents from IDPs and general public. The researcher stratified random sampling technique was used to draw the sample needed for the study in three geopolitical Zones in the States, (Zone A, B and C). Structured questionnaire was the major instruments used collect data for analysis. Result presented in tables analyses the perception of people on the role of saves the children program of WHO in the north east, item 1 state that provision of food and shelter helps in reviving the children, this state was accepted with a mean and standard deviation of 3.56 and 1.46 respectively. Item 2 also state that, in post-boko haram insurgency food provision was accessible to everyone illegible individual this statement was also accepted with 3.76 and 1.48 mean and standard deviation respectively. Similarly, item 3 state that, the food aid saved the life of many and avoided starvation in the affected areas, the statement was accepted with a mean and standard deviation of 3.56 and 1.46 respectively. Item 4 also state that food provision of food is not the best way to revive the victims, this statement was vehemently rejected with a mean and standard deviation of 2.56 and 1.87 respectively. item 5 on the other hand discuses provision of well-balanced diet given to the vulnerable so that they will not be malnourished, this statement was accepted by the respondent with a mean and standard deviation of 3.56 and 1.46 respectively.

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)0.003
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 score0.472
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.079
GPT teacher head0.453
Teacher spread0.373 · 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