Stories from Globalgiving Storytelling Project

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2 stories matched Female and Under 16 and Fun and business and living

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How good is this collection? (40/100)
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Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.

Diverse sources: 2/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 96/100 (100% when every storytellers answer every question)
Diverse points of view: 0/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 61/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:In kibera there are many children that are not going to school. These is because of proverty others children are orphans living in street. There came one person from American who felt pity and started an organization called "AVSI". The organization has educated many children and taking them to university. AVSI has also built some libray in kibera. It also educated people how to expand their business mostly women. It has lend loans to people. Children of kibera has thank AVSI for the great help.
Q3:AVSI GIVING GREAT HELP
Q4:AVSI
Q6:Kenya
Q7:Nairobi
Q8:Kibera
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2012-11-27-KIBERA-S#592-P#01>>_
Q18:Inspired
Q19:Knowledge,Creativity,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:Avsi

q2:On has to be employed in order to lead a better life in an urbarn area. Most of the Mathare resident sort employment in constraction firms as laborous. The rate of employment in mathare is 10-20 parent. this shaws that most people are not employed. Those who are employed risk loosing their jobs anytime because they are temporary jobs hense do not provide options for permanent employment. Due to lack of jobs, most people have resorted to small businesses within the slums. men in particular have started businesses like carpentry (workshop) welding and even shopkeeping. Some even sell a few things by the streets to earn a living. For the women, most sell groceries.
Q3:Employment in MATHARE
Q4:Employment
Q6:Kenya
Q7:Nairobi
Q8:Mathare 4A
Q9:Less than 2 months ago
Q10:Female
Q12:Heard about it happening
Q13:Mixed
Q15:No
Q17:[HORIZON] Question16 - not answered<<2012-11-27-KIBERA-S#538-P#01>> _
Q18:Angry
Q19:Knowledge,Creativity,Fun
Q23:50
Q37:Bad idea that failed
Q38:Specific problem
Q39:Economic opportunity
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:None

Found 2 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 = 'Under 16' and (( q2 like '%business%' and q2 like '%living%' ) or ( q3 like '%business%' and q3 like '%living%' ) or ( q4 like '%business%' and q4 like '%living%' ) or ( q5 like '%business%' and q5 like '%living%' ) or ( q6 like '%business%' and q6 like '%living%' ) or ( q7 like '%business%' and q7 like '%living%' ) or ( q8 like '%business%' and q8 like '%living%' ) or ( q11 like '%business%' and q11 like '%living%' ) or ( q17 like '%business%' and q17 like '%living%' ) or ( q26 like '%business%' and q26 like '%living%' ) or ( q27 like '%business%' and q27 like '%living%' ) or ( q28 like '%business%' and q28 like '%living%' ) or ( q29 like '%business%' and q29 like '%living%' ) or ( q35 like '%business%' and q35 like '%living%' ) or ( q41 like '%business%' and q41 like '%living%' ) or ( q42 like '%business%' and q42 like '%living%' ) or ( q43 like '%business%' and q43 like '%living%' ) or ( q46 like '%business%' and q46 like '%living%' ) or ( q47 like '%business%' and q47 like '%living%' ) or ( q60 like '%business%' and q60 like '%living%' ) or ( q65 like '%business%' and q65 like '%living%' ) or ( q70 like '%business%' and q70 like '%living%' ) or ( q71 like '%business%' and q71 like '%living%' ) or ( q72 like '%business%' and q72 like '%living%' ) or ( q73 like '%business%' and q73 like '%living%' ) or ( q74 like '%business%' and q74 like '%living%' ) or ( q75 like '%business%' and q75 like '%living%' ) or ( q76 like '%business%' and q76 like '%living%' ) or ( q77 like '%business%' and q77 like '%living%' ) or ( q80 like '%business%' and q80 like '%living%' ) or ( q81 like '%business%' and q81 like '%living%' ) or ( q86 like '%business%' and q86 like '%living%' ) or ( q87 like '%business%' and q87 like '%living%' ) or ( q88 like '%business%' and q88 like '%living%' ) or ( q89 like '%business%' and q89 like '%living%' ) or ( q98 like '%business%' and q98 like '%living%' ) or ( q99 like '%business%' and q99 like '%living%' ) or ( q110 like '%business%' and q110 like '%living%' ) or ( q111 like '%business%' and q111 like '%living%' ) or ( q116 like '%business%' and q116 like '%living%' ) or ( q117 like '%business%' and q117 like '%living%' ) or ( q123 like '%business%' and q123 like '%living%' ) or ( q125 like '%business%' and q125 like '%living%' ) or ( q132 like '%business%' and q132 like '%living%' ) or ( q133 like '%business%' and q133 like '%living%' ) or ( q134 like '%business%' and q134 like '%living%' ) or ( q135 like '%business%' and q135 like '%living%' ) or ( q136 like '%business%' and q136 like '%living%' ) or ( q138 like '%business%' and q138 like '%living%' ) or ( q141 like '%business%' and q141 like '%living%' ) or ( q142 like '%business%' and q142 like '%living%' ) or ( q151 like '%business%' and q151 like '%living%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[ZavsB0tM1gPd]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)