Stories from Globalgiving Storytelling Project

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4 stories matched Fun and Male and Under 16 and member and food

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How good is this collection? (40/100)
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: 3/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 92/100 (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: 63/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:I have a cousin who lost his parents last year. He had two siblings (one brother and one sister). He needed help and care kenya helped my cousin. This organization helped my brother by giving him clothes, food, paying school fees since baby-class and buying for him shoes. My cousin thank this organization because it has also helped other orphans, street children and widows. This group also give basic needs to other countries. This group also give basic needs to other countries. It also provide food for other countries. It has also provide security to my cousin and his family members. Friends and neighbours.
Q3:AN ORPHAN BOY AND OTHER PEOPLE
Q4:CARE KENYA
Q6:KENYA
Q7:NAIROBI
Q8:KATWEKERA
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-11-27-KIBERA-S#586-P#01>>_
Q18:Happy
Q19:Knowledge,Creativity,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:Care

q2:In the village a woman by the name June lost her husband.She was left with five kids which became difficult for her to provide food,shelter and health in general.The children including the mother were infested with Jiggers which became a problem for the family to fight against.One day an organization of WEWASAFO visited and build a and paid fees for the kids who were in secondary school the family members were happy and took a new face of life and children were in position of completing school and managed to pass and are now in tertiary tereto.All thanks goes to the director of WEWASAFO.
Q3:Mistressed Family
Q4:Wewasafo
Q6:Kenya
Q7:kakamega
Q8:maravba
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:Mixed
Q15:Yes
Q17:<<2011-I5-09-11-WEWAFASO-KAKAMEGA-S#001-P#198>> _
Q18:Inspired
Q19:Food and shelter,Knowledge,Fun
Q37:Unknown
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:Under 16

q2:In the village a woman by the name June lost her husband.She was left with five kids which became difficult for her to provide food,shelter and health in general.The children including the mother were infested with Jiggers which became a problem for the family to fight against.One day an organization of WEWASAFO visited and build a and paid fees for the kids who were in secondary school the family members were happy and took a new face of life and children were in position of completing school and managed to pass and are now in tertiary tereto.All thanks goes to the director of WEWASAFO.
Q3:Mistressed Family
Q4:Wewasafo
Q6:Kenya
Q7:kakamega
Q8:maravba
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-I5-09-11-WEWAFASO-KAKAMEGA-S#001-P#198>> _
Q18:Inspired
Q19:Food and shelter,Knowledge,Fun
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Mixed
Q122:Under 16
Q132:0.26675000000000
Q133:34.89439000000000
Q134:Wewasafo

q2:I do not remember when my parents died ,but i had resorted to living on the streets.Chewing gum and sniffing petrol.1 good friend meet me on the street.He told me to go to a home where there was peace. I was taken to C.R.O where am now being provided with food, I go for prayers and am now a good person and people admire my way of living
Q3:CHANGING A MISERABLE LIFE TO A WORTH LIVING
Q4:CHILD RESTORATION OUTREACH
Q5:worth, street, outreach, streets, meet
Q6:Uganda
Q7:Jinja
Q8:Masese
Q9:More than 2 years ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17:<<2011-07-12-KACHEERA SACCO-S#001-P#01>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Fun
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:Under 16
Q132:0.45000000000000
Q133:33.23333000000000
Q134:Child Restoration Outreach

Found 4 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Fun%' and q122 = 'Under 16' and (( q2 like '%member%' and q2 like '%food%' ) or ( q3 like '%member%' and q3 like '%food%' ) or ( q4 like '%member%' and q4 like '%food%' ) or ( q5 like '%member%' and q5 like '%food%' ) or ( q6 like '%member%' and q6 like '%food%' ) or ( q7 like '%member%' and q7 like '%food%' ) or ( q8 like '%member%' and q8 like '%food%' ) or ( q11 like '%member%' and q11 like '%food%' ) or ( q17 like '%member%' and q17 like '%food%' ) or ( q26 like '%member%' and q26 like '%food%' ) or ( q27 like '%member%' and q27 like '%food%' ) or ( q28 like '%member%' and q28 like '%food%' ) or ( q29 like '%member%' and q29 like '%food%' ) or ( q35 like '%member%' and q35 like '%food%' ) or ( q41 like '%member%' and q41 like '%food%' ) or ( q42 like '%member%' and q42 like '%food%' ) or ( q43 like '%member%' and q43 like '%food%' ) or ( q46 like '%member%' and q46 like '%food%' ) or ( q47 like '%member%' and q47 like '%food%' ) or ( q60 like '%member%' and q60 like '%food%' ) or ( q65 like '%member%' and q65 like '%food%' ) or ( q70 like '%member%' and q70 like '%food%' ) or ( q71 like '%member%' and q71 like '%food%' ) or ( q72 like '%member%' and q72 like '%food%' ) or ( q73 like '%member%' and q73 like '%food%' ) or ( q74 like '%member%' and q74 like '%food%' ) or ( q75 like '%member%' and q75 like '%food%' ) or ( q76 like '%member%' and q76 like '%food%' ) or ( q77 like '%member%' and q77 like '%food%' ) or ( q80 like '%member%' and q80 like '%food%' ) or ( q81 like '%member%' and q81 like '%food%' ) or ( q86 like '%member%' and q86 like '%food%' ) or ( q87 like '%member%' and q87 like '%food%' ) or ( q88 like '%member%' and q88 like '%food%' ) or ( q89 like '%member%' and q89 like '%food%' ) or ( q98 like '%member%' and q98 like '%food%' ) or ( q99 like '%member%' and q99 like '%food%' ) or ( q110 like '%member%' and q110 like '%food%' ) or ( q111 like '%member%' and q111 like '%food%' ) or ( q116 like '%member%' and q116 like '%food%' ) or ( q117 like '%member%' and q117 like '%food%' ) or ( q123 like '%member%' and q123 like '%food%' ) or ( q125 like '%member%' and q125 like '%food%' ) or ( q132 like '%member%' and q132 like '%food%' ) or ( q133 like '%member%' and q133 like '%food%' ) or ( q134 like '%member%' and q134 like '%food%' ) or ( q135 like '%member%' and q135 like '%food%' ) or ( q136 like '%member%' and q136 like '%food%' ) or ( q138 like '%member%' and q138 like '%food%' ) or ( q141 like '%member%' and q141 like '%food%' ) or ( q142 like '%member%' and q142 like '%food%' ) or ( q151 like '%member%' and q151 like '%food%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[pQOgqi35tjqI]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)