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10 stories matched Male and (31-45 or 46-60 or Over 60) and Self-esteem and country and youth

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How good is this collection? (43/100)
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: 8/100 (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: 68/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a positive tone.

q2:Mushroom Tool is reducing youth employment. Student in free enterprise (SIFF) is on internal organisation that bring together adiverse network of network of univerity student, academic proffesional and industry leadership. They have introduced many small organisation That is producing mushrooms especially in western part of kenya Kitale and send them many part of the country thus to eradicate poverty in poor communities
Q3:EMPOWER POOR COMMUNITIES
Q4:ECHO
Q6:Kenya
Q7:KITALE
Q8:kitale
Q9:2-6 months ago
Q10:Male
Q12:Heard about it happening
Q13:The right people
Q15:Yes
Q17:<<2012-13-07-DAGORETTI-S#077-P#01>>_
Q18:Hopeful
Q19:Physical Needs,Self-esteem,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Economic opportunity
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:None

q2:Return to the Cradle is an organisation that is aimed at teaching the youths against indulging in criminal activities. It organises various meetings in parts of the country especially in slums and ghettos whereby the crime rate is high. This has led to a reduction of crime in the areas. Njoroge who attended one of their rallies was moved by a motivational speaker "Danger" who was once a hard core criminal and survived bullet wounds from a police, this story touched Njoroge to an extend that he quitted his criminal lifestyle. He is now a fruit vendor.
Q3:Moved ny a story
Q4:Return to the Cradle banner organisation
Q6:Kenya
Q7:Nairobi
Q8:Makongeni
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-2-SIAYA-S#33-P#01>>_
Q18:Happy
Q19:Knowledge,Self-esteem,Fun
Q23:52
Q37:Good idea that worked somewhat
Q38:Mixed
Q39:Mixed
Q40:It requires a continuous effort
Q122:31-45
Q132:None
Q133:None
Q134:None

q2: Uganda Care an organisation helped the youths with affected HIV-AIDS through providing them vocational skills and then also emproyed them after their corses And this has helped them to improve their standerds of living in community and country.
Q3:Boosting education to the youths with HIV-AIDS
Q4:Uganda Care
Q5:skills, vocational, country, youths, living
Q6:Uganda
Q7:Kampala
Q8:Entebbe
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<10-11-2011-CEPO-S#044-P#01>>_
Q18:Hopeful
Q19:Physical Needs,Knowledge,Self-esteem
Q23:93
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:It requires a continuous effort
Q122:31-45
Q132:0.41667000000000
Q133:32.83333000000000
Q134:Uganda Care

q2: Drug is the thing that has made our country to be poor. they encourage many activities which are not good for people to learn. this has even lost our youths from bad company. The Caroliner group has made people and young youth to stop using drugs and engage in football activity. They form many team to form a group then they give the group a name.
Q3:STOP DRUG TRAFFIC
Q4:Caroliner
Q5:activity, young, lost, football, encourage
Q6:KENYA
Q7:NAIROBI
Q8:Kijiko
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:[HORIZON]Question 8 is not answered<<2011-10-18-KIBERA-S#035-P#01>>_
Q18:Unknown
Q19:Physical Needs,Knowledge,Self-esteem
Q23:96
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Carolina For Kibera Organization

q2: BIDCO Its a world wide Business Organisation has improved the live of UIgandana in during myself through creating jobs for the youth by selling health products. This organisaton has really done goods in country. So as improved their livings in the community
Q3:EMPOWERING PEOPLE THROUGH BUSINESSES
Q4:[BIDCO]
Q5:goods, creating, business, live, businesses
Q6:Uganda
Q7:Kampala
Q8:Mukono town
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2011-04-20-YESU-AKWAGALA-KIRUMBA-S#043-P#01>>_
Q18:Important
Q19:Knowledge,Creativity,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:-2.17072000000000
Q133:37.96614000000000
Q134:No Answer

q2:NAtional Agriculture Advisory Service(NAADS) has helped to fight unemployment amang the youth through providing high breeds of animals and high quality seeds which has helped to improve people's standard of living in the country.
Q3:Promoting Agriculture
Q4:NAADS
Q6:Uganda
Q7:Wakiso
Q8:Kira
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-04-23-CEPO-NDEGEYA-S#091-P#01>>_
Q18:Important
Q19:Knowledge,Creativity,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:46-60

q2:National Agriculture Advisory Services has helped to fight unemployment among the youth through providing high breeds of animals and high quality seeds which has helped to improve people's standards of living in the country.
Q3:PROMOTING AGRICULTURE
Q4:NAADS
Q6:UGANDA
Q7:AWAKISO
Q8:KIRA
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:Mixed
Q15:Yes
Q17:<<2011-04-23-CEPO-NDEGEYA-S#091-P#001-P#003>>_
Q18:Important
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:mixed
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:46-60

q2:Music has been part of the youth. A youth called John Bam grew up as any other child does. He loves music to death. He was academically poor in school and after school, he joined the music industry. Most musicians like Bob Marley, Baby Cool, Jennifer Lopez and many others have gained a lot from the music industry. John realized his talent an now he is happily living with his family. People should make good use of their talents that fact God given them to sustain themselves in life. John is now ranked under top best musicians in the country.
Q3:TALENT
Q4:JOHN KATANA
Q5:musicians, music, sustain, use, individual
Q6:KENYA
Q7:NAIROBI
Q8:KAYOLE
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-03-16-Kibera-Ogira-Magoso-S#095-P#001-P#003>>_
Q18:Inspired
Q19:Physical Needs,Creativity,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Economic opportunity
Q40:Lasting change
Q122:31-45
Q132:-0.07861100000000
Q133:34.77684100000000
Q134:Individual

q2:Most youth in Kibera slum had been sitting idle.They did not ave work to do.They would just wait for night and start stealing from the neighbourhood.The government came up with a specific solution of giving the youth a job,The project was a contract dabbed Kazi Kwa Vijana. By starting thia projeect the government has helped yo bring peace to the society and all over the country.
Q3:The Government's idea
Q4:KAZI KWA VIJANA
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA SILANGA
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]<<2011-05-31-OGIRA-KIBERA-S#089-P#01>>_
Q18:Important
Q19:Security,Self-esteem,Freedom
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Kazi Kwa Vijana

q2:The person who changed life in my community in one way or another is myself- I am tree conservitionist and I like trees because I tree is life, wealth and beauty of a country i.e Good Environment. I joined a youth club where I learnt about tree nursery planting and good husbandry. Then after secondary school I started a tree nursery where I sold idigigenous and exotic seedlings to the community. I told them to plant more trees as it influences rainfall, it is wealth and also environmental beauty of our country. By so doing I became famous in 1984 I was employed as a factory manager in a coffee factory where I trained the community on good tree husbandry and coffee as a foreign currency earner. Tourists who visited the factory enjoyed seeing coffee beens being processed.
Q3:TREE PLANTING-GOOD ENVIRONMENT OF A NATION
Q4:The community where mobilised to plant more trees
Q5:nursery, tree, environmental, planting, plant
Q9:More than 2 years ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]No.13 has been left blank<<2011-03-31-NorthCentralRegion-John-Swim-s#148-p#01>>_
Q18:Inspired
Q19:Security,Knowledge,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Lasting change
Q122:46-60
Q132:-0.07861100000000
Q133:34.77684100000000
Q134:Community

Found 10 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Self-esteem%' 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[h6heJMIOsW78]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)