8 stories matched Under 16 and Physical Needs and Female and village and woman
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (53/100) When making inferences, it is important to have many perspectives. Running
our story quality test will measure this using the diversity of story collectors, named organizations,
locations, and the balance in story point of view and tone to estimate the collection's suitability for meta-analysis.
Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.
Diverse sources: 4/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 95/100 (100% when every storytellers answer every question)
Diverse points of view: 70/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 44/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.
3 distinct clusters within this collection: 1 - Org: child's development - 4 stories 2 - Org: individual - 4 stories 3 - Org: none - 2 stories
q2:In our village there was a girl who was an orphan. Her parents died long time ago. She was left with their young children. She was very confused because she was the one to take care of their young siblings. She was going to search for a job inorder to get food. She met a woman who was sponsoring people in the society. She explained to him briefly and she was sponsored and their children were taken to their aunt inorder to stay there. Q3:An Orphan Girl Q4:Individual Q6:Kenya Q7:Nairobi Q8:Silanga Q9:7-12 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-10-12-KANGEMI-S#055-P#01>>_ Q18:Inspired Q19:Family and Friends,Physical Needs,Knowledge Q23:50 Q37:Unknown Q38:Specific problem Q39:Social relations Q40:Mixed Q122:Under 16
q2:In our village there was a girl who was an orphan. Her parents died long time ago. She was left with their young children. She was very confused because she was the one to take care of their young siblings. She was going to search for a job inorder to get food. She met a woman who was sponsoring people in the society. She explained to him briefly and she was sponsored and their children were taken to their aunt inorder to stay there. Q3:An Orphan Girl Q4:Individual Q6:Kenya Q7:Nairobi Q8:Silanga Q9:7-12 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-10-12-KANGEMI-S#055-P#01>>_ Q18:Inspired Q19:Family and Friends,Physical Needs,Knowledge Q23:50 Q37:Unknown Q38:Specific problem Q39:Social relations Q40:Mixed Q122:Under 16 Q132:None Q133:None Q134:Individual
q2:As a senior woman i got to know a girl who was called Nakibuuka Mary who was raped by her in-law She was hated at home and so she asked me to take her in the boarding section without telling her sister
It was not easy because we had to invite her sister who chased her from home and the girl was cinfined to the village
When she came back she joined boarding where she completed her ple and later joined secondary by the help of an organisation Q3:A girl who was raped Q4:organisation Q6:Uganda Q7:kampala Q8:kigewa Q9:More than 2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:No Q17:<<26-10-11-UGANDA-S#133-P#01>>
_ Q18:Horrible Q19:Food and shelter,Family and Friends,Physical Needs Q37:Good idea that succeeded Q38:Broad need Q39:Mixed Q40:Mixed Q122:Under 16 Q132:-1.31201900000000 Q133:36.77454400000000 Q134:None
q2:In our village there were no parents to take care of them they remained ophans.One day a woman aws passing by she abused them.when was still standing there another man came and took one of the children in to his house.She was a girl aged 14 yrs when she entered in the house she found the the housewife seated on her chair watching the movie.when she saw that girl she closed her nose and said that the child was smelling.The mother took off.when the chhild was left there she was beaten and she didn't take good care of them. Q3:CHILD ABUSE Q4:Child's development Q6:kenya Q7:Nairobi Q8:Kibera-lindi Q9:1-2 years ago Q10:Female Q12:Was affected by what happened Q13:Mixed Q15:No Q17:<<2011-05-24-KIBERA-S#003-P#01>>_ Q18:Important Q19:Physical Needs,Creativity,Self-esteem Q37:Unknown Q38:Mixed Q39:Mixed Q40:Mixed Q122:Under 16
q2:In our village there were no parents to take care of them they remained ophans.One day a woman aws passing by she abused them.when was still standing there another man came and took one of the children in to his house.She was a girl aged 14 yrs when she entered in the house she found the the housewife seated on her chair watching the movie.when she saw that girl she closed her nose and said that the child was smelling.The mother took off.when the chhild was left there she was beaten and she didn't take good care of them. Q3:CHILD ABUSE Q4:Child's development Q6:kenya Q7:Nairobi Q8:Kibera-lindi Q9:1-2 years ago Q10:Female Q12:Was affected by what happened Q13:The wrong people Q15:No Q17:_ Q18:Important Q19:Physical Needs,Creativity,Self-esteem Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Mixed Q122:Under 16
q2:One day, there was a woman who was living near us. The woman was called Beatrice. She had only three children; the biggest a girl and the smallest a boy.
There is one day when the woman was crying, we were surprised to hear that but kept on listening to her. Then later we heard another scream again, then we went immediately to her house.
When we reached there, we could even not utter a single word. We saw the woman crying for help and when we asked her what was happening then she told us that she is sick.
After a few minutes, we took the woman to the hospital called Kenyatta. Then we told the doctor to test whether she could have HIV/AIDS. Before the doctor could go outside, he called me and told me that the woman was suffering from HIV/AIDS. I was surprised.
Then we took her home and we called for the meeting and told the villagers that we should take care of her and give her the good care that she need in her lifetime before she depart. Q3:HIV/AIDS Q4:BEATRICE Q5:minutes, lifetime, care, need, suffering Q6:KENYA Q7:NAIROBI Q8:KIBERA Q9:7-12 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-02-11-28-Kibera_Ogira-S#122-P#001-P#003>>_ Q18:Inspired Q19:Physical Needs,Creativity,Self-esteem Q23:-1 Q37:Good idea that succeeded Q38:Specific solution Q39:Physical well-being Q40:Lasting change Q122:Under 16 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Individual
q2: There lived a man who like corning people.One day the man wake at 5.00am,the man was angry he didn't at evening.The man went around looking for food.the man was passing in a small village called Kichijio.He found a small girl selling a banana.He send the girl to go and buy of him a credit for 5 shillings.He took a bananas and he went with bananas.When girl came back she could not find the man.
The next day the man went to steal and corne people at the market there were many people at the market there were many people in market.The man take te poach and run away.Woman started to scrimed.The man was beaten untill died.
Q3:The corne man in kibera Q4:N/A Q5:credit, buy, market, run, go Q6:Kenya Q7:Nairobi Q8:KIBERA SOWETO Q9:Unknown Q10:Female Q12:Unknown Q13:The right people Q15:No Q17:<<2011-05-31-OGIRA KIBERA-S#082-P#01>>_ Q18:Important Q19:Family and Friends,Physical Needs,Freedom Q37:Good idea that succeeded Q38:Mixed Q39:Physical well-being Q40:Mixed Q122:Under 16 Q132:-1.31487200000000 Q133:36.80095900000000 Q134:None
q2: Before even the nineteenth centuary, there lived an old grandma who was known as chidawa. i heard that in those days, there was a certain disease which seemed to have disturbed very many people in the area. But chidawa was a clever woman. She knew the herbs which could cure the disease. Those herbs were green in colour but when sundried well, until it get rid of all the chlorophile it was whitish in coloir. The herb was only there during the rainy season.
So people used to come to her for cureence.Because the people were not being treated freely, chidawa was so rich that even you could not believe that she was just a grandma.
One season came where by thre was no rain. chidawa still had customers.Nobody knew the herbs she started using then.In addition to this, she never sundried the herbs she used to . Those people didn't care for the main wasnting was to be cured.Then the people realised that the herbs were not working.Nabuto one of the people realised that his wound was just growing big and big.But one day when a certain boy was sent to see of chidawa was around, the boy found her red hunded scraching white cassava; The boy ran to the village and made sure that everybody knew the fact. Q3:CHIDAWA THE MEDICINEGRANDMA Q4:NABUTO Q6:kenya Q7:KISUMU Q8:SONDU/CHABERA Q9:More than 2 years ago Q10:Female Q12:Was affected by what happened Q13:Nobody Q15:No Q17:<<2011-04-20-kisumu-SilasOwiti-s#001-P#01>>_ Q18:Horrible Q19:Family and Friends,Physical Needs,Freedom Q23:-1 Q37:Bad idea Q38:Specific solution Q39:Social relations Q40:Lasting change Q122:Under 16 Q132:-0.05000000000000 Q133:34.68333000000000 Q134:Nabuto
 
Found 8 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Physical Needs%' and q122 = 'Under 16' and (( q2 like '%village%' and q2 like '%woman%' ) or ( q3 like '%village%' and q3 like '%woman%' ) or ( q4 like '%village%' and q4 like '%woman%' ) or ( q5 like '%village%' and q5 like '%woman%' ) or ( q6 like '%village%' and q6 like '%woman%' ) or ( q7 like '%village%' and q7 like '%woman%' ) or ( q8 like '%village%' and q8 like '%woman%' ) or ( q11 like '%village%' and q11 like '%woman%' ) or ( q17 like '%village%' and q17 like '%woman%' ) or ( q26 like '%village%' and q26 like '%woman%' ) or ( q27 like '%village%' and q27 like '%woman%' ) or ( q28 like '%village%' and q28 like '%woman%' ) or ( q29 like '%village%' and q29 like '%woman%' ) or ( q35 like '%village%' and q35 like '%woman%' ) or ( q41 like '%village%' and q41 like '%woman%' ) or ( q42 like '%village%' and q42 like '%woman%' ) or ( q43 like '%village%' and q43 like '%woman%' ) or ( q46 like '%village%' and q46 like '%woman%' ) or ( q47 like '%village%' and q47 like '%woman%' ) or ( q60 like '%village%' and q60 like '%woman%' ) or ( q65 like '%village%' and q65 like '%woman%' ) or ( q70 like '%village%' and q70 like '%woman%' ) or ( q71 like '%village%' and q71 like '%woman%' ) or ( q72 like '%village%' and q72 like '%woman%' ) or ( q73 like '%village%' and q73 like '%woman%' ) or ( q74 like '%village%' and q74 like '%woman%' ) or ( q75 like '%village%' and q75 like '%woman%' ) or ( q76 like '%village%' and q76 like '%woman%' ) or ( q77 like '%village%' and q77 like '%woman%' ) or ( q80 like '%village%' and q80 like '%woman%' ) or ( q81 like '%village%' and q81 like '%woman%' ) or ( q86 like '%village%' and q86 like '%woman%' ) or ( q87 like '%village%' and q87 like '%woman%' ) or ( q88 like '%village%' and q88 like '%woman%' ) or ( q89 like '%village%' and q89 like '%woman%' ) or ( q98 like '%village%' and q98 like '%woman%' ) or ( q99 like '%village%' and q99 like '%woman%' ) or ( q110 like '%village%' and q110 like '%woman%' ) or ( q111 like '%village%' and q111 like '%woman%' ) or ( q116 like '%village%' and q116 like '%woman%' ) or ( q117 like '%village%' and q117 like '%woman%' ) or ( q123 like '%village%' and q123 like '%woman%' ) or ( q125 like '%village%' and q125 like '%woman%' ) or ( q132 like '%village%' and q132 like '%woman%' ) or ( q133 like '%village%' and q133 like '%woman%' ) or ( q134 like '%village%' and q134 like '%woman%' ) or ( q135 like '%village%' and q135 like '%woman%' ) or ( q136 like '%village%' and q136 like '%woman%' ) or ( q138 like '%village%' and q138 like '%woman%' ) or ( q141 like '%village%' and q141 like '%woman%' ) or ( q142 like '%village%' and q142 like '%woman%' ) or ( q151 like '%village%' and q151 like '%woman%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[eVjepz8l3VSh]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)