Stories from Globalgiving Storytelling Project

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5 stories matched Respect and Female and (31-45 or 46-60 or Over 60) and country and youth

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How good is this collection? (41/100)
When making inferences, it is important to have many perspectives. Running our story quality test will measure this using the diversity of story collectors, named organizations, locations, and the balance in story point of view and tone to estimate the collection's suitability for meta-analysis.
Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.

Diverse sources: 4/100 (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: 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: 68/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a positive tone.

q2:Susan puts her family first before everything. She is not only attractive, inteligent and down on earth but a career woman. She comes from rich, rich family despite his family richness, wealthy she believes she has God. given purpose toward the country and the youth in particular. Susan works just because she has to but because she want to give back. Good riddence Susan continues to advice and encourage women and youth which is the major problem country wide.
Q3:Giving back
Q4:Community
Q6:KENYA
Q7:NAIROBI
Q8:Dagoretti
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:<<2012-05-30-DAGORRETI CORNER-S#331-P#01>>_
Q18:Inspired
Q19:Food and shelter,Physical Needs,Respect
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Community

q2: Lack of unemployment in the country has hindered the development if the country at a high rate and this has led to high level of crime in the slums at an alarming rate. Due to this an idea was hatched for recycling paper in the slum and this was supported by Lee Jones thus opening avenues for the youth to get employment in the region.This offered jobs in all levels thus improving the living standards of people working in the site and offering cheap and quality products for the community.
Q3:KIBERA PAPER
Q4:LEE JONES
Q5:opening, alarming, jobs, development, living
Q6:Kenya
Q7:Nairobi
Q8:Kibera
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:<<11-11-2011-MAKADARA-YOUTHGROUP-S#068-P#01>>_
Q18:Important
Q19:Family and Friends,Knowledge,Respect
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:None

q2:Nkoba zambo culture association this group has helped to promote Buganda culture to young generation in Buganda region. It teaches the youth the spirit of loving their country (patriotism) and trains them the dos and do nots of Buganda.
Q3:promoting culture
Q4:Nkoza zambogo
Q6:UGANDA
Q7:MPIGI
Q8:MUGE
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<21-10-2011-UGANDA-SCHOOL-S#377-P#01>>_
Q18:Important
Q19:Knowledge,Respect,Self-esteem
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:1.75000000000000
Q133:33.76667000000000
Q134:None

q2:The Aids support organisation (TASO) this organization has helped to fight aganinst HIV/AIDS in the country. It gives condoms to the youths and encourages people to for blood testing.
Q3:Fighting against HIV/AIDS
Q4:TASO
Q6:UGANDA
Q7:MPIGI
Q8:MUGE
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:<<21-10-2011-UGANDA-SCHOOL-S#359-P#01>>_
Q18:Horrible
Q19:Knowledge,Respect,Self-esteem
Q37:Good idea that succeeded
Q38:Mixed
Q39:Physical well-being
Q40:Mixed
Q122:31-45
Q132:1.75000000000000
Q133:33.76667000000000
Q134:Taso

q2: Edgan's youth programme it located at Kampala.It's contributed to encouraging the youths to go for blood testing in order to know their status as this is important all in all to reduce the high death of teenagers in country.
Q3:Encouraging the youths to know their status
Q4:EYP
Q5:teenagers, programme, high, town, youths
Q6:Uganda
Q7:Mukono
Q8:Mukono Town
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<28/10/11-UGANDA-P#105-S#01>>_
Q18:Happy
Q19:Security,Family and Friends,Respect
Q23:33
Q37:Good idea that worked somewhat
Q38:Mixed
Q39:Social relations
Q40:It requires a continuous effort
Q122:31-45
Q132:-2.17072000000000
Q133:37.96614000000000
Q134:Eyp

Found 5 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%country%' and q2 like '%youth%' ) or ( q3 like '%country%' and q3 like '%youth%' ) or ( q4 like '%country%' and q4 like '%youth%' ) or ( q5 like '%country%' and q5 like '%youth%' ) or ( q6 like '%country%' and q6 like '%youth%' ) or ( q7 like '%country%' and q7 like '%youth%' ) or ( q8 like '%country%' and q8 like '%youth%' ) or ( q11 like '%country%' and q11 like '%youth%' ) or ( q17 like '%country%' and q17 like '%youth%' ) or ( q26 like '%country%' and q26 like '%youth%' ) or ( q27 like '%country%' and q27 like '%youth%' ) or ( q28 like '%country%' and q28 like '%youth%' ) or ( q29 like '%country%' and q29 like '%youth%' ) or ( q35 like '%country%' and q35 like '%youth%' ) or ( q41 like '%country%' and q41 like '%youth%' ) or ( q42 like '%country%' and q42 like '%youth%' ) or ( q43 like '%country%' and q43 like '%youth%' ) or ( q46 like '%country%' and q46 like '%youth%' ) or ( q47 like '%country%' and q47 like '%youth%' ) or ( q60 like '%country%' and q60 like '%youth%' ) or ( q65 like '%country%' and q65 like '%youth%' ) or ( q70 like '%country%' and q70 like '%youth%' ) or ( q71 like '%country%' and q71 like '%youth%' ) or ( q72 like '%country%' and q72 like '%youth%' ) or ( q73 like '%country%' and q73 like '%youth%' ) or ( q74 like '%country%' and q74 like '%youth%' ) or ( q75 like '%country%' and q75 like '%youth%' ) or ( q76 like '%country%' and q76 like '%youth%' ) or ( q77 like '%country%' and q77 like '%youth%' ) or ( q80 like '%country%' and q80 like '%youth%' ) or ( q81 like '%country%' and q81 like '%youth%' ) or ( q86 like '%country%' and q86 like '%youth%' ) or ( q87 like '%country%' and q87 like '%youth%' ) or ( q88 like '%country%' and q88 like '%youth%' ) or ( q89 like '%country%' and q89 like '%youth%' ) or ( q98 like '%country%' and q98 like '%youth%' ) or ( q99 like '%country%' and q99 like '%youth%' ) or ( q110 like '%country%' and q110 like '%youth%' ) or ( q111 like '%country%' and q111 like '%youth%' ) or ( q116 like '%country%' and q116 like '%youth%' ) or ( q117 like '%country%' and q117 like '%youth%' ) or ( q123 like '%country%' and q123 like '%youth%' ) or ( q125 like '%country%' and q125 like '%youth%' ) or ( q132 like '%country%' and q132 like '%youth%' ) or ( q133 like '%country%' and q133 like '%youth%' ) or ( q134 like '%country%' and q134 like '%youth%' ) or ( q135 like '%country%' and q135 like '%youth%' ) or ( q136 like '%country%' and q136 like '%youth%' ) or ( q138 like '%country%' and q138 like '%youth%' ) or ( q141 like '%country%' and q141 like '%youth%' ) or ( q142 like '%country%' and q142 like '%youth%' ) or ( q151 like '%country%' and q151 like '%youth%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[cjKKOxnVuQXx]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)