Stories from Globalgiving Storytelling Project

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3 stories matched (31-45 or 46-60 or Over 60) and Fun and Female and village and woman

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How good is this collection? (61/100)
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: 74/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a positive tone.

q2:UWESO is an organisation formed to help women to develop. It help women to develop. It help them in different ways. UWESO helped the women of this vullage to start their industry which make some littel tea in their village. A manager in they started as small business and they started with ten people. She said that now the industry a large and they can buy from farmers in that village and ever sell the finished goods or products. This woman said that they benefited a lot from that village and ever sell the finished goods or products. This woman said that they benefitted a lot from that organisation because they can earn 1000,000 a week which made their standard living to be improved their children are studying and even in better schools. So they thank UWESO so much
Q3:DEVELOP INDUSTRY
Q4:UWESO
Q6:Uganda
Q7:Kampala
Q8:Kiboga
Q9:2-6 months ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-21-UGANDA-S#3963-P#01>>_
Q18:Happy
Q19:Family and Friends,Respect,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Mixed
Q122:46-60
Q132:None
Q133:None
Q134:Uweso

q2:BATAKA TWEZIIKE is an organisation which is formed to help people in burial ceremonies. It help people to bury their dead ones to give them help in terms of money, to dig graves and many other. This organisation also helped on of a village woman who had no other relative apart from the one who had died at that time. She said that when this organisation round about they came day the grave burried the dead one and at that time she was dissapointed she had nothing to do when organization she said that she got hope and now she can feel fine with the situation
Q3:Barring the Dead
Q4:BATAKA TWEZIKE
Q6:UGANDA
Q7:KAMPALA
Q8:Munyonyo
Q9:2-6 months ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-21-UGANDA-S#3965-P#01>>_
Q18:Happy
Q19:Family and Friends,Respect,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Physical well-being
Q40:Mixed
Q122:Over 60
Q132:None
Q133:None
Q134:BAT

q2:In vulaani village there was a woman who claimed to be helping the people by praying for them.She would ask the people she prayed for so much many that people did not know what to do. One day they wanted to know what she did that the people got healed they discovered that she was using some medicine that he was using from the witchcraft they vowed to go there again.
Q3:Prayer Problem
Q4:Individual
Q6:Kenya
Q7:Busia
Q8:vulani
Q9:Unknown
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<23-12-11-BUSIA-S#001-P#104>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:-2.01198000000000
Q133:37.17074000000000
Q134:Individual

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%village%' and q2 like '%woman%' ) or ( q3 like '%village%' and q3 like '%woman%' ) or ( q4 like '%village%' and q4 like '%woman%' ) or ( q5 like '%village%' and q5 like '%woman%' ) or ( q6 like '%village%' and q6 like '%woman%' ) or ( q7 like '%village%' and q7 like '%woman%' ) or ( q8 like '%village%' and q8 like '%woman%' ) or ( q11 like '%village%' and q11 like '%woman%' ) or ( q17 like '%village%' and q17 like '%woman%' ) or ( q26 like '%village%' and q26 like '%woman%' ) or ( q27 like '%village%' and q27 like '%woman%' ) or ( q28 like '%village%' and q28 like '%woman%' ) or ( q29 like '%village%' and q29 like '%woman%' ) or ( q35 like '%village%' and q35 like '%woman%' ) or ( q41 like '%village%' and q41 like '%woman%' ) or ( q42 like '%village%' and q42 like '%woman%' ) or ( q43 like '%village%' and q43 like '%woman%' ) or ( q46 like '%village%' and q46 like '%woman%' ) or ( q47 like '%village%' and q47 like '%woman%' ) or ( q60 like '%village%' and q60 like '%woman%' ) or ( q65 like '%village%' and q65 like '%woman%' ) or ( q70 like '%village%' and q70 like '%woman%' ) or ( q71 like '%village%' and q71 like '%woman%' ) or ( q72 like '%village%' and q72 like '%woman%' ) or ( q73 like '%village%' and q73 like '%woman%' ) or ( q74 like '%village%' and q74 like '%woman%' ) or ( q75 like '%village%' and q75 like '%woman%' ) or ( q76 like '%village%' and q76 like '%woman%' ) or ( q77 like '%village%' and q77 like '%woman%' ) or ( q80 like '%village%' and q80 like '%woman%' ) or ( q81 like '%village%' and q81 like '%woman%' ) or ( q86 like '%village%' and q86 like '%woman%' ) or ( q87 like '%village%' and q87 like '%woman%' ) or ( q88 like '%village%' and q88 like '%woman%' ) or ( q89 like '%village%' and q89 like '%woman%' ) or ( q98 like '%village%' and q98 like '%woman%' ) or ( q99 like '%village%' and q99 like '%woman%' ) or ( q110 like '%village%' and q110 like '%woman%' ) or ( q111 like '%village%' and q111 like '%woman%' ) or ( q116 like '%village%' and q116 like '%woman%' ) or ( q117 like '%village%' and q117 like '%woman%' ) or ( q123 like '%village%' and q123 like '%woman%' ) or ( q125 like '%village%' and q125 like '%woman%' ) or ( q132 like '%village%' and q132 like '%woman%' ) or ( q133 like '%village%' and q133 like '%woman%' ) or ( q134 like '%village%' and q134 like '%woman%' ) or ( q135 like '%village%' and q135 like '%woman%' ) or ( q136 like '%village%' and q136 like '%woman%' ) or ( q138 like '%village%' and q138 like '%woman%' ) or ( q141 like '%village%' and q141 like '%woman%' ) or ( q142 like '%village%' and q142 like '%woman%' ) or ( q151 like '%village%' and q151 like '%woman%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[6qW7NZs3vT8q]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)