8 stories matched Under 16 and Knowledge and Male and village and woman
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q2:In 2007 there was violence these caused many people suffer.Many girls and woman were raped by the GSU and village men.So there was an organisation that came and helped the people.The organisation was known as Sita Kimya. Q3:STOP VIOLENCE Q4:SITA KIMYA Q6:KENYA Q7:NAIROBI Q8:KIBERA Q9:Less than 2 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[<<2012-11-27-KIBERA-S#367-P#01>>_ Q18:Disappointed Q19:Knowledge,Creativity,Freedom Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Mixed Q122:Under 16 Q132:None Q133:None Q134:Sita Kimya
q2:My father had been sick for 9 months in Kenyatta National Hospital we had no money in order to bring him back home we had tried looking for money but no one was able to help us.
One day as my mother was going to work as usual she met a woman who had seemed to be a new person to our village so she decided to talk to her and tell her our problems and the woman was pitty towards my mothers story and she help us with 10,000/= and in the hospital it was required 20,00/= so my mother a simple time to look for the remaining money. Q3:No one but God Q4:Individual Q6:Kenya Q7:Kisumu Q8:Village Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-11-27-KIBERA-S#607-P#01>>_ Q18:Happy Q19:Knowledge,Creativity,Freedom Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Mixed Q122:Under 16 Q132:None Q133:None Q134:Individual
q2:At kilomeni village, there lived a man called Karanja. He had no parents even a single parent. He was taking care of my uncle's cattle, everyday he was given
fiftyshilling. His parents died of an accident at mombasa road. my uncle helped him mby giving him food and shelter. After a few months later he went to streets and began borrowing money from vehicles which had the owners, who were passing near him. A good looking woman took him to her house and asked him do you want to start spoons and knives on way of road side, the man agreed. After a few weeks later he found a shop of selling knives, spoons and serving spoons and he came up with a good work of wholesales and retail peoples of supermarket like uchumi. The man came up with a good job of things of hotel. Q3:A man who had a honesty life and was help and came up Q4:There were no organization it was a good looking woman Q6:Uganda Q7:Kampala Q8:Kilameni Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[HORIZON]Question 20 was not answered
<<08-03-2012-MACHAKOS-S#033-P#01>>
_ Q18:Disappointed Q19:Food and shelter,Knowledge,Respect Q23:3 Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Temporary change Q122:Under 16 Q132:0.31628000000000 Q133:32.58219000000000 Q134:None
q2:She had nould walking for almost four hours.Suddenly stella stopped.Stopped still Did she hear a noise in the forest or was it imagination.She Listened again and he heard a noise again and he heard a noise again. of I woman he remained near he say two mens catering the woman.He returned back quickly and he run to tell the villagers.The villegares came quickly and they catered those men and the women Q3:IN THE FOREST Q4:TERISHA Q6:KENYA Q7:KISII Q8:KIMENI Q9:1-2 years ago Q10:Male Q12:Saw it happen Q13:Nobody Q15:Yes Q17:<<19-12-2011-BUSIA-S#182-P#01>>_ Q18:Disappointed Q19:Knowledge,Creativity,Fun Q23:100 Q37:Bad idea that failed Q38:Specific problem Q39:Social relations Q40:Temporary change Q122:Under 16 Q132:-0.75000000000000 Q133:34.83333000000000 Q134:None
q2:Long time ago in a community of Masai there was worrier who was very bravely and hand some looks made all the girls of the village fall in love with him.
It came to appoint that the worrier was to leave his own community and go far away to fight . The worrier gave his lovers some conditions to be followed. He called the youngest of his eight lovers and told her to put fresh milk in a small guard . He also instructed to keep checking on the color of the milk everyday. If the milk turned red the worrier would have been killed or will be in a seriously wounded. After a short time of leaving the lover check the milk and saw that it was turning slowly reddish, so the lover find a way to look for his worrier. She travelled for a long time and finnaly she came across him. He was in a serious wounded and was dyeing. The woman washed the wounds everyday and look food to feed his husband and after one month the worrier recover his health and from that day they live happily life. Q3:THE WORRIER WHO HAD EIGHT LOVERS Q4:MASAI Q5:wounded, recover, wounds, small, fight Q6:KENYA Q7:MASAI Q8:CHEPLANGAT Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The wrong people Q15:Yes Q17:[HORIZON]<<2011-09-24-TYSAKITALE-S#153-P#01>>_ Q18:Indifferent Q19:Physical Needs,Knowledge,Self-esteem Q23:1 Q37:Bad idea that worked despite itself Q38:Specific solution Q39:Social relations Q40:Temporary change Q122:Under 16 Q132:-0.13144000000000 Q133:35.58550000000000 Q134:None
q2:In the village a woman by the name June lost her husband.She was left with five kids which became difficult for her to provide food,shelter and health in general.The children including the mother were infested with Jiggers which became a problem for the family to fight against.One day an organization of WEWASAFO visited and build a and paid fees for the kids who were in secondary school the family members were happy and took a new face of life and children were in position of completing school and managed to pass and are now in tertiary tereto.All thanks goes to the director of WEWASAFO. Q3:Mistressed Family Q4:Wewasafo Q6:Kenya Q7:kakamega Q8:maravba Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:Mixed Q15:Yes Q17:<<2011-I5-09-11-WEWAFASO-KAKAMEGA-S#001-P#198>>
_ Q18:Inspired Q19:Food and shelter,Knowledge,Fun Q37:Unknown Q38:Mixed Q39:Mixed Q40:Mixed Q122:Under 16
q2:In the village a woman by the name June lost her husband.She was left with five kids which became difficult for her to provide food,shelter and health in general.The children including the mother were infested with Jiggers which became a problem for the family to fight against.One day an organization of WEWASAFO visited and build a and paid fees for the kids who were in secondary school the family members were happy and took a new face of life and children were in position of completing school and managed to pass and are now in tertiary tereto.All thanks goes to the director of WEWASAFO. Q3:Mistressed Family Q4:Wewasafo Q6:Kenya Q7:kakamega Q8:maravba Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-I5-09-11-WEWAFASO-KAKAMEGA-S#001-P#198>>
_ Q18:Inspired Q19:Food and shelter,Knowledge,Fun Q37:Good idea that succeeded Q38:Specific problem Q39:Physical well-being Q40:Mixed Q122:Under 16 Q132:0.26675000000000 Q133:34.89439000000000 Q134:Wewasafo
q2:In one village in kariobangi in south c,there was a man who was found in drunkenness.One day he came home at exactly 3.am.The best thing for the man was to cut his wife.As he immediately entered the house he started quarrellings with his his wife.Because her another girlfriend had cheated the man that his wife was a prostitute.He immediately took panga and started cutting his wife into pieces.The last born who was under the bed saw how their mother was being cut at night.The other big boys run at a speed which could make her body pipe out of her legs.As they entered they found the man hid the body under the bed ,he was wiping blood of the cement floor.The man was arrested and now he is in jail for the years of the woman. Q3:A man jailed for cutting his wife Q4:Kenya police Q5:bed, floor, cement, wife, run Q6:Kenya Q7:Nairobi Q8:kariobangi Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-06-29-MATHARE-S#112-P#01-P#003>>_ Q18:Horrible Q19:Food and shelter,Knowledge,Fun Q37:Bad idea Q38:Specific solution Q39:Social relations Q40:Mixed Q122:Under 16 Q132:0.36060600000000 Q133:36.78195100000000 Q134:Police
 
Found 8 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Knowledge%' 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[4KTPwVW1Oo7M]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)