Stories from Globalgiving Storytelling Project

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2 stories matched Security and Under 16 and Female and god and church

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How good is this collection? (50/100)
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: 2/100 (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: 32/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.

q2: After the election was done the results were dilayed for unknown circumstances.as soon as the results were annouced piece deputted from the larshes of aour eyes and ear's people who were leaving in harmony turned against there neighbours they targeted ethnic communities without knowing that politicians do not put food on the tables.I wish they knew how they were disgreacing the presence of God.Many lives were lost.small children lost there parents and even there lived people were displaced some of them were slaughtered like goats others burned into death in churches.The police wasn't doing anything they were raping mother and daughters. Up to today there is no justice which has been done into all this injustices people as still perserviaring in cold because of the displacement they are strugling to feed there children in this high cost of economy some of them they can beally even get what to get they pray to God to sustain them so that they can see the next day.
Q3:THE POSTAL ELECTION VIOLENCE
Q4:POLITICIANS
Q5:displaced, circumstances, targeted, high, communities
Q6:Kenya
Q7:Nairobi
Q8:Kibera
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:<<2011-05-01-BUNGOMA-S#104-P#01>>_
Q18:Horrible
Q19:Security,Physical Needs,Creativity
Q37:mixed
Q38:Specific solution
Q39:Physical well-being
Q40:Mixed
Q122:Under 16
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Government

q2: In two years ago there was a man who was poor as a church mouse. He was only man in that village who was very poor. He was always going beside the road with his two doughters as he prays for God to help them. Nobody in the village wanted to see him. But an organization came up with an organization came up and helped the man and nowerday days you look at him nobody can tell that that was the many who was always asking for help.
Q3:A poor family
Q4:Peter
Q6:Kenya
Q7:Nairobi
Q8:setlight
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-03-04-SowetoMeryygoroundyouthgroup-s#036-p#01>>_
Q18:Important
Q19:Security,Knowledge,Self-esteem
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Social relations
Q40:Lasting change
Q122:Under 16
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:Individual

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