2 stories matched Female and Under 16 and Respect and job and community
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How good is this collection? (52/100) When making inferences, it is important to have many perspectives. Running
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Diverse sources: 2/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 94/100 (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.
There is not enough diversity to do cluster analysis for this collection.
One of these is the same (or missing) from the group:
Organization name
City
Neighborhood
Storyteller id: name or phone number
Scribe/story collector id: name or phone number
q2:I came from a poor community and our family can not provide the food for almost 10 pple in the hous each day. In slums children and adults are struggling to get the job or anything which they can for them to succeed.
In the street there are many challenges that we face every day a lot of cases are reported because of rape many girls are rapped now and then in the dark curlprits and they cannot do anything. But I believe that one day someone woll come and help them out.
In the slums of Kibera the place is so dirty that many people like staying in a clean places and they cannot do so the place the people are leaving there is no any toilets around it is just flying papers which you can see on the iron sheets. But the organization has come up with something
Q3:Cleaning the Streams Q4:AMANI KIBERA Q6:Kenya Q7:Nairobi Q8:Langata Q9:Less than 2 months ago Q10:Female Q12:Unknown Q13:Mixed Q15:Unknown Q17:<<[HORIZON MOST DATA NOT FILLED]2012-10-17-SIAYA/KIBERA-S#190-P#00>>_ Q18:Unknown Q19:Family and Friends,Respect,Fun Q23:12 Q37:Unknown Q38:Specific problem Q39:Mixed Q40:Mixed Q122:Under 16 Q132:None Q133:None Q134:Amani
q2:In our community there was a woman whose name was kiundu he has a wife whose name was Rosa and his daughter so one day when kiundu went for a job she left Rosa and his daughter at home when it reached at 1:00am Rosa started preaparing alunch so in a split of a second she used a stove to cook with so the house caught fire and all the things were burnt so a person tried to help them. Q3:The rescue Q4:Individual Q6:Nairobi Q7:District Q8:Village Q9:2-6 months ago Q10:Female Q12:Was affected by what happened Q13:The wrong people Q15:Yes Q17:<<2011-05-12-EAST AFRICA MEDIA GROUP-S#200-P#001>>_ Q18:Horrible Q19:Physical Needs,Respect,Freedom Q23:-1 Q37:Good idea that failed Q38:Specific solution Q39:Social relations Q40:Lasting change Q122:Under 16 Q132:0.31628000000000 Q133:32.58219000000000 Q134:Individual
 
Found 2 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 = 'Under 16' and (( q2 like '%job%' and q2 like '%community%' ) or ( q3 like '%job%' and q3 like '%community%' ) or ( q4 like '%job%' and q4 like '%community%' ) or ( q5 like '%job%' and q5 like '%community%' ) or ( q6 like '%job%' and q6 like '%community%' ) or ( q7 like '%job%' and q7 like '%community%' ) or ( q8 like '%job%' and q8 like '%community%' ) or ( q11 like '%job%' and q11 like '%community%' ) or ( q17 like '%job%' and q17 like '%community%' ) or ( q26 like '%job%' and q26 like '%community%' ) or ( q27 like '%job%' and q27 like '%community%' ) or ( q28 like '%job%' and q28 like '%community%' ) or ( q29 like '%job%' and q29 like '%community%' ) or ( q35 like '%job%' and q35 like '%community%' ) or ( q41 like '%job%' and q41 like '%community%' ) or ( q42 like '%job%' and q42 like '%community%' ) or ( q43 like '%job%' and q43 like '%community%' ) or ( q46 like '%job%' and q46 like '%community%' ) or ( q47 like '%job%' and q47 like '%community%' ) or ( q60 like '%job%' and q60 like '%community%' ) or ( q65 like '%job%' and q65 like '%community%' ) or ( q70 like '%job%' and q70 like '%community%' ) or ( q71 like '%job%' and q71 like '%community%' ) or ( q72 like '%job%' and q72 like '%community%' ) or ( q73 like '%job%' and q73 like '%community%' ) or ( q74 like '%job%' and q74 like '%community%' ) or ( q75 like '%job%' and q75 like '%community%' ) or ( q76 like '%job%' and q76 like '%community%' ) or ( q77 like '%job%' and q77 like '%community%' ) or ( q80 like '%job%' and q80 like '%community%' ) or ( q81 like '%job%' and q81 like '%community%' ) or ( q86 like '%job%' and q86 like '%community%' ) or ( q87 like '%job%' and q87 like '%community%' ) or ( q88 like '%job%' and q88 like '%community%' ) or ( q89 like '%job%' and q89 like '%community%' ) or ( q98 like '%job%' and q98 like '%community%' ) or ( q99 like '%job%' and q99 like '%community%' ) or ( q110 like '%job%' and q110 like '%community%' ) or ( q111 like '%job%' and q111 like '%community%' ) or ( q116 like '%job%' and q116 like '%community%' ) or ( q117 like '%job%' and q117 like '%community%' ) or ( q123 like '%job%' and q123 like '%community%' ) or ( q125 like '%job%' and q125 like '%community%' ) or ( q132 like '%job%' and q132 like '%community%' ) or ( q133 like '%job%' and q133 like '%community%' ) or ( q134 like '%job%' and q134 like '%community%' ) or ( q135 like '%job%' and q135 like '%community%' ) or ( q136 like '%job%' and q136 like '%community%' ) or ( q138 like '%job%' and q138 like '%community%' ) or ( q141 like '%job%' and q141 like '%community%' ) or ( q142 like '%job%' and q142 like '%community%' ) or ( q151 like '%job%' and q151 like '%community%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[Fid7zaZ1V5vY]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)