Stories from Globalgiving Storytelling Project

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6 stories matched Male and (31-45 or 46-60 or Over 60) and talent and slum

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How good is this collection? (48/100)
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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: 91/100 (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: 97/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.

q2: Njuguna comes from poor family family in kirinyaga. Now through cyclist he has changed his family . Nakumatt Supermarket sponsored him and beat a field of SI cyclists to win the fith edition park. Now his family living in slum Kawangware have been moved to Satelite in a big house and now he is educating his younger sibling. This has made many to change especially young to identify their talent which can change them completely
Q3:Make use of your talent
Q4:Nakumatt
Q6:Kenya
Q7:Nairobi
Q8:kawangware
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-11-KAWANGWARE-S#033-P#01>>_
Q18:Inspired
Q19:Family and Friends,Physical Needs,Knowledge
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Economic opportunity
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Nakumatt

q2: Morris foundation is a non-profit charitable organisation that founded to promote the delivery of quality health care and affordable medical insurance and free service to poor slum. With partnership with Santuri Record as music production, it has recruit many youth in poor areas and slums. The organisation has made youth to use their talents now come together to organise the "The Tour" where music group known as TOCCATA from Northern Ireland will will be proud to associate with morris foundation and is currently garnering support to help equip various hospitals in slums and rural
Q3:Modify youth
Q4:Morris foundation
Q6:Kenya
Q7:Nairobi
Q8:Nairobi-Kayole
Q9:2-6 months ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-11-KAWANGWARE-S#026-P#01>>_
Q18:Happy
Q19:Family and Friends,Physical Needs,Knowledge
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Physical well-being
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:UNITED NATIONS

q2: Kibra young youth in kibera karanja road comprises professional and semi-professional kenya and Ireland based musician, united in their mission to use their collective talents to support charities in Slums and poor communities country wide in their Philanthropic endavors. far and wide to perform with the express aim of addressing issue of poverty and deprivation it is achieved by devising and performing high quality musical production which attracts sponsorship from both corporate concerns and private individual.
Q3:Collective Talents
Q4:Kibra young youth group
Q6:Kenya
Q7:Nairobi
Q8:Kibera- Karanja road
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:HORIZON Question 12,16,17,18,19,20 not answere<<2012-12-11-KAWANGWARE-S#024-P#01>>_
Q18:Hopeful
Q19:Food and shelter,Security,Knowledge
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:UNITED NATIONS

q2: Njoki doesn't know who the parents are,where she comes from but she was adopted by an old woman who was walking around kiiri village.she was found in plastic bag crying.The woman was very disappointed and took her, washed her and reported the matter to Authority.she was later called if she can adopt Njoki because she had interest in her.Njoki was very happy with her adopted grandmother.though the woman was poor despite the situation she has raised Njoki well.Njoki is proud of her grandmother and joined Hidden Talent Centre here in Nairobi Ngando slum.she is being Sponsored with the centre and very kind.she encouraged other to share,help and be there for their people and community
Q3:Change the Community
Q4:Hidden Talent
Q6:Kenya
Q7:Murangaa
Q8:Kirii
Q9:Unknown
Q10:Male
Q12:Unknown
Q13:Mixed
Q15:Yes
Q17:[HORIZON-Question 10 & 12 were not answered]<<2012-07-03-DAGORETTI CORNER-S#336-P#01>>_
Q18:Inspired
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:None

q2:Hidden Talent has improved the lives of most talented street children in the slums of Nairobi. Global Giving has been the brainchild for the process.
Q3:Utilization of Hidden Talent
Q4:Hidden Talents
Q6:KENYA
Q7:NAIROBI
Q8:Ngando
Q9:2-6 months ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:No
Q17:[HORIZON]Q9,16NOT ANSWERED<<2012-05-30-DAGORETI CORNER-S#001-P#169>>_n/a
Q18:Important
Q19:Food and shelter,Security,Knowledge
Q37:Good idea that succeeded
Q38:Broad need
Q39:Economic opportunity
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:None

q2:There are few social facilities in Kibera. This has made it hard to access these facilities. Sporting facilities have been grabbed by greedy leaders in the society. this has ruined the upcoming talents in Kibera. There is no government school within the interior of the slum. The government should have better planning for the slums and create many social facilities in these areas.
Q3:SOCIAL FACILITIES IN KIBERA
Q4:THE ESTABLISHED GOVERNMENT
Q5:established, access, areas, slums, slum
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:Nobody
Q15:No
Q17:2011-03-04-Soweto-Merry Go Round Youth Group-S#187-P#001-P#003_
Q18:Inspired
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Government

Found 6 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q122 in ('31-45','46-60','Over 60') 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[logy49yCdI82]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)