Stories from Globalgiving Storytelling Project

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3 stories matched Male and Under 16 and Fun and hospital and day

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How good is this collection? (58/100)
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: 96/100 (100% when every storytellers answer every question)
Diverse points of view: 70/100 (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:Uganda youth orphans and disabled Association. As an orphan and disabled young man life at my grandparents was very difficult sionce they looked at me as a burden. I felt frustrated and though of killing my self but when i was taken to mulago hospital i met a doctor who introduced me to UYODA. At UYODA i was counselled and loved and made to feel like i was loved. Today i attained a vocation skill in shoe making and now am a profession shoe making and now am a profession shoe cobbler and i feel i have something to offer to the community thanks to UYODA
Q3:Hope restoration
Q4:UYODA
Q6:Uganda
Q7:Kampala
Q8:Kireka
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-21-UGANDA-S#1124-P#01>_
Q18:Inspired
Q19:Knowledge,Self-esteem,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:It requires a continuous effort
Q122:Under 16
Q132:None
Q133:None
Q134:None

q2:It was 9.00am in the morning.I was hanging my the clothes on the clothes line when i saw people jumping over the gate.our house is on the fourth floor and i could see everything clearly.Two ladies jumped over the gate first.They were wearing masks.They began breaking into the new car that my neighbor mr wangari had bought two days before.Three men followed also in masks and stood at strategic corners of our compound.They had their pistols out and ready to shoot.I woke my neighbors up and we started throwing things at the robbers. I hit one of the men witha stool and he fell dropping his gun.Mr wangari who lives on the ground floor picked the gun and tried to shoot at the remaining robbers.In a few minutes the police took them to the hospital.
Q3:The robbers
Q4:police
Q5:hit, line, ground, two, lives
Q6:Kenya
Q7:Nairobi
Q8:kibera
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:<<20-11-05-31-OGIRA-KIBERA-S#001-P#119>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Fun
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Economic opportunity
Q40:Mixed
Q122:Under 16
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Government

q2:It was on Saturday afternoon when an accident occurred near kisumu-Nairobi highway and they were taken to an hospital but many people had major injuries they took the patients to a hospital named Kenyatta hospital.many people died but some had injuries.some people were carried with an ambulance to be taken to some big hospitals they lose their families and their families did not know where they were because some died.some members came to the hospital to ask how the accident occurred and they got the bad news it was approached on the television and radios
Q3:helping the injured
Q4:cavit
Q5:injured, injuries, families, died, patients
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2011-06-15-KIBERA-S#144-P#001-P#003>>_
Q18:Inspired
Q19:Security,Physical Needs,Fun
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:Under 16
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Cavit

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Fun%' and q122 = 'Under 16' and (( q2 like '%hospital%' and q2 like '%day%' ) or ( q3 like '%hospital%' and q3 like '%day%' ) or ( q4 like '%hospital%' and q4 like '%day%' ) or ( q5 like '%hospital%' and q5 like '%day%' ) or ( q6 like '%hospital%' and q6 like '%day%' ) or ( q7 like '%hospital%' and q7 like '%day%' ) or ( q8 like '%hospital%' and q8 like '%day%' ) or ( q11 like '%hospital%' and q11 like '%day%' ) or ( q17 like '%hospital%' and q17 like '%day%' ) or ( q26 like '%hospital%' and q26 like '%day%' ) or ( q27 like '%hospital%' and q27 like '%day%' ) or ( q28 like '%hospital%' and q28 like '%day%' ) or ( q29 like '%hospital%' and q29 like '%day%' ) or ( q35 like '%hospital%' and q35 like '%day%' ) or ( q41 like '%hospital%' and q41 like '%day%' ) or ( q42 like '%hospital%' and q42 like '%day%' ) or ( q43 like '%hospital%' and q43 like '%day%' ) or ( q46 like '%hospital%' and q46 like '%day%' ) or ( q47 like '%hospital%' and q47 like '%day%' ) or ( q60 like '%hospital%' and q60 like '%day%' ) or ( q65 like '%hospital%' and q65 like '%day%' ) or ( q70 like '%hospital%' and q70 like '%day%' ) or ( q71 like '%hospital%' and q71 like '%day%' ) or ( q72 like '%hospital%' and q72 like '%day%' ) or ( q73 like '%hospital%' and q73 like '%day%' ) or ( q74 like '%hospital%' and q74 like '%day%' ) or ( q75 like '%hospital%' and q75 like '%day%' ) or ( q76 like '%hospital%' and q76 like '%day%' ) or ( q77 like '%hospital%' and q77 like '%day%' ) or ( q80 like '%hospital%' and q80 like '%day%' ) or ( q81 like '%hospital%' and q81 like '%day%' ) or ( q86 like '%hospital%' and q86 like '%day%' ) or ( q87 like '%hospital%' and q87 like '%day%' ) or ( q88 like '%hospital%' and q88 like '%day%' ) or ( q89 like '%hospital%' and q89 like '%day%' ) or ( q98 like '%hospital%' and q98 like '%day%' ) or ( q99 like '%hospital%' and q99 like '%day%' ) or ( q110 like '%hospital%' and q110 like '%day%' ) or ( q111 like '%hospital%' and q111 like '%day%' ) or ( q116 like '%hospital%' and q116 like '%day%' ) or ( q117 like '%hospital%' and q117 like '%day%' ) or ( q123 like '%hospital%' and q123 like '%day%' ) or ( q125 like '%hospital%' and q125 like '%day%' ) or ( q132 like '%hospital%' and q132 like '%day%' ) or ( q133 like '%hospital%' and q133 like '%day%' ) or ( q134 like '%hospital%' and q134 like '%day%' ) or ( q135 like '%hospital%' and q135 like '%day%' ) or ( q136 like '%hospital%' and q136 like '%day%' ) or ( q138 like '%hospital%' and q138 like '%day%' ) or ( q141 like '%hospital%' and q141 like '%day%' ) or ( q142 like '%hospital%' and q142 like '%day%' ) or ( q151 like '%hospital%' and q151 like '%day%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[9UKPZgnOiBzs]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)