5 stories matched (16-21 or 22-30) and Respect and Female and girl and hospital
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How good is this collection? (55/100) When making inferences, it is important to have many perspectives. Running
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Diverse sources: 3/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 93/100 (100% when every storytellers answer every question)
Diverse points of view: 80/100 (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)
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3 distinct clusters within this collection: 1 - City: nairobi - 3 stories 2 - Org: individual - 2 stories 3 - Org: community - 2 stories
q2:I had my girlfriend and she was also my girl lover but i Didn't know that she had gonoria yet she wanted me to have sex with her. One day a playied sex with her and I got the disease but did not know. After one day I was not felling good I went to the hospital and the doctor told me to pay some money in order to get the medicine, but it was too much money on my side and I had know where to get it but there was a person came asked me to look in my result papers and he did so, after he gave me a check of more than the money wanted for the medicine and I was treated by the doctors and I got cured. Q3:I GOT CURED Q4:THE AID SUPPORT ORGANIZATION Q6:uganda Q7:KALUNGU Q8:LWABENGE Q9:2-6 months ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<2012-10-15-UGANDA-S#837-P#01>>_ Q18:Disappointed Q19:Respect,Self-esteem,Freedom Q23:50 Q37:Good idea that should have worked but did not Q38:Specific problem Q39:Mixed Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:None
q2:There was a girl who got pregnant when she was in std seven.Her parents were not happy about the issue and decided to advice her to abort.
The girl bleeded alot and they delayed her to hospital till she died.Her parents regreted alot. Q3:ABORTION Q4:individual Q6:Kenya Q7:Nairobi Q8:Kayole/soweto Q9:Less than 2 months ago Q10:Female Q12:Was affected by what happened Q13:Nobody Q15:Yes Q17:<<2012-08-21-MATHARE-S#001-P#136>>_ Q18:Horrible Q19:Security,Respect,Self-esteem Q37:Bad idea Q38:Specific solution Q39:Physical well-being Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
q2:I dated aman who was positive but he didn't tell me his status.people were suprised when they realize it is not only friendship but we are in love.Sarah recall.But before things got worse she was saved by three women in my community.Rabecca,Lucy and Elizabeth asked if i was his girl friend i told them Yes and they told me to go for VCT.When i told my fiance about it he told me he has gone many hospital he is negative.He refused completely.Thus when i knew he wanted to take advantage and infect meThanks for the ladies who save me. Q3:Saved from HIV infecion Q4:Community Q6:Kenya Q7:Nairobi Q8:Ngando Q9:Unknown Q10:Female Q12:Saw it happen Q13:Mixed Q15:Yes Q17:[HORIZON]Q12 NOT ANSWERED
<<2012-07-03-DAGORETTI CORNER-S#001-P#064>>_ Q18:Inspired Q19:Security,Respect,Self-esteem Q37:Bad idea Q38:Mixed Q39:Social relations Q40:Mixed Q122:16-21 Q132:None Q133:None Q134:Community
q2:I dated aman who was positive but he didn't tell me his status.people were suprised when they realize it is not only friendship but we are in love.Sarah recall.But before things got worse she was saved by three women in my community.Rabecca,Lucy and Elizabeth asked if i was his girl friend i told them Yes and they told me to go for VCT.When i told my fiance about it he told me he has gone many hospital he is negative.He refused completely.Thus when i knew he wanted to take advantage and infect meThanks for the ladies who save me. Q3:Saved from HIV infecion Q4:Community Q6:Kenya Q7:Nairobi Q8:Ngando Q9:Unknown Q10:Female Q12:Saw it happen Q13:Mixed Q15:Yes Q17:[HORIZON]Q12 NOT ANSWERED
<<2012-07-03-DAGORETTI CORNER-S#001-P#064>>_ Q18:Inspired Q19:Security,Respect,Self-esteem Q37:Bad idea Q38:Mixed Q39:Social relations Q40:Mixed Q122:16-21 Q132:None Q133:None Q134:Community
q2:She was walking along the streets of Kitale. Mary was a very young woman aged 27 years. She did not have a nice job because she had no good academic qualifications. She was working as a househelp around that village. She was now on her way to the market where she met a man who had been beaten by robbers. He was left half dead in his car. The girl saw ,the need to save that man's life.She took him boarded a taxi with him and took him to hospital. She even left all her duties far that mans life. In the hospital she was asked to pay the bill. She checked the pockets of that man and got a bunch of keys and his address. She went to his house and found some money in the drawers. She picked the exact cash that was need in the hospital and left the rest. She wrote her name on one of the papers and the amount she had taken and placed the note where the money was. After clearing the bill, she went away and having lost her job she had no other place to go. She walked from home to home washing peoples houses, dishes and even clothes. It was then that she again met the man he had rescued. The man took her in as a wife and got her a job. Q3:Always do good Q4:Individual Q6:KENYA Q7:Kitale Q8:Matisi Q9:Unknown Q10:Female Q12:Saw it happen Q13:The right people Q15:Unknown Q17:<<2012-06-18-Kakamega-S#179-P#01>>[Horizon]Question 18 not answered_ Q18:Inspired Q19:Food and shelter,Physical Needs,Respect Q23:79 Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Lasting change Q122:22-30 Q132:None Q133:None Q134:Individual
 
Found 5 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 in ('16-21','22-30') and (( q2 like '%girl%' and q2 like '%hospital%' ) or ( q3 like '%girl%' and q3 like '%hospital%' ) or ( q4 like '%girl%' and q4 like '%hospital%' ) or ( q5 like '%girl%' and q5 like '%hospital%' ) or ( q6 like '%girl%' and q6 like '%hospital%' ) or ( q7 like '%girl%' and q7 like '%hospital%' ) or ( q8 like '%girl%' and q8 like '%hospital%' ) or ( q11 like '%girl%' and q11 like '%hospital%' ) or ( q17 like '%girl%' and q17 like '%hospital%' ) or ( q26 like '%girl%' and q26 like '%hospital%' ) or ( q27 like '%girl%' and q27 like '%hospital%' ) or ( q28 like '%girl%' and q28 like '%hospital%' ) or ( q29 like '%girl%' and q29 like '%hospital%' ) or ( q35 like '%girl%' and q35 like '%hospital%' ) or ( q41 like '%girl%' and q41 like '%hospital%' ) or ( q42 like '%girl%' and q42 like '%hospital%' ) or ( q43 like '%girl%' and q43 like '%hospital%' ) or ( q46 like '%girl%' and q46 like '%hospital%' ) or ( q47 like '%girl%' and q47 like '%hospital%' ) or ( q60 like '%girl%' and q60 like '%hospital%' ) or ( q65 like '%girl%' and q65 like '%hospital%' ) or ( q70 like '%girl%' and q70 like '%hospital%' ) or ( q71 like '%girl%' and q71 like '%hospital%' ) or ( q72 like '%girl%' and q72 like '%hospital%' ) or ( q73 like '%girl%' and q73 like '%hospital%' ) or ( q74 like '%girl%' and q74 like '%hospital%' ) or ( q75 like '%girl%' and q75 like '%hospital%' ) or ( q76 like '%girl%' and q76 like '%hospital%' ) or ( q77 like '%girl%' and q77 like '%hospital%' ) or ( q80 like '%girl%' and q80 like '%hospital%' ) or ( q81 like '%girl%' and q81 like '%hospital%' ) or ( q86 like '%girl%' and q86 like '%hospital%' ) or ( q87 like '%girl%' and q87 like '%hospital%' ) or ( q88 like '%girl%' and q88 like '%hospital%' ) or ( q89 like '%girl%' and q89 like '%hospital%' ) or ( q98 like '%girl%' and q98 like '%hospital%' ) or ( q99 like '%girl%' and q99 like '%hospital%' ) or ( q110 like '%girl%' and q110 like '%hospital%' ) or ( q111 like '%girl%' and q111 like '%hospital%' ) or ( q116 like '%girl%' and q116 like '%hospital%' ) or ( q117 like '%girl%' and q117 like '%hospital%' ) or ( q123 like '%girl%' and q123 like '%hospital%' ) or ( q125 like '%girl%' and q125 like '%hospital%' ) or ( q132 like '%girl%' and q132 like '%hospital%' ) or ( q133 like '%girl%' and q133 like '%hospital%' ) or ( q134 like '%girl%' and q134 like '%hospital%' ) or ( q135 like '%girl%' and q135 like '%hospital%' ) or ( q136 like '%girl%' and q136 like '%hospital%' ) or ( q138 like '%girl%' and q138 like '%hospital%' ) or ( q141 like '%girl%' and q141 like '%hospital%' ) or ( q142 like '%girl%' and q142 like '%hospital%' ) or ( q151 like '%girl%' and q151 like '%hospital%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[gSvrUcBPTQzM]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)