The attitude of people towards the role of non-governmental organizations (NGOS) in post-boko haram insurgency in north-eastern part of Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".