Stories from Globalgiving Storytelling Project

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2 stories matched Female and Under 16 and talent and slum

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How good is this collection? (64/100)
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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: 60/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 96/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.

q2:Drama is one of the most enjoyed arts. Far from films, its more touching and heavily exposes the talents of an individual cast. It is not easy performing drama as it is acting a film. Shining hope for community (SHOFCO) is however playing a huge role in helping young artist nurture their acting talents. Through their drama club, young actors and actresses have found a rare chance in Kibera to act drama not only in the slums but also outside the slums. this exposure is good as they improve their talents and also get a chance to be paid for doing what they like
Q3:Drama
Q4:SHOFCO
Q6:Kenya
Q7:Kibera
Q8:Katwekera
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2012-04-20-KIBERA-S#059-P#01>>_
Q18:Inspired
Q19:Physical Needs,Knowledge,Respect
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Mixed
Q40:It requires a continuous effort
Q122:Under 16
Q132:-1.31539030500000
Q133:36.78355324000000
Q134:None

q2:Program of Benti Pamoja has helped many girls in our society. this organisation has helped the life skills of girls. That have made the girls proud of themselves. Before that, girls in Kibera live but they did not know there skills or talents. Girls walk in slum with nothing to do.\ Binti pamoja has help girls in their talent by sport and dramas. girls now know what they are and their talent. life is now easier.
Q3:GIRL SKILLS
Q4:BINTI PAMOJA
Q6:KENYA
Q7:NAIROBI
Q8:OLYMPIC
Q9:Unknown
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17: <<2011-02-11-28-Kibera_Ogira-S#324-P#001-P#001>>_
Q18:Important
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Lasting change
Q122:Under 16
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Binti Pamoja

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