Stories from Globalgiving Storytelling Project

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7 stories matched (16-21 or 22-30) and Fun and Female and village and woman

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How good is this collection? (49/100)
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: 5/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 94/100 (100% when every storytellers answer every question)
Diverse points of view: 22/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 75/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:There is a woman in our village who is smiling having got support togo for several anternatal check ups to protect her baby from HIV/AIDS as for her had the virus so she produced a baby who was HIV negative
Q3:Antenatal Care
Q4:WOLOKO-KWO Support Organisation
Q6:Uganda
Q7:Gulu
Q8:Panokrac
Q9:Less than 2 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-10-16 MBAWASO -S#11P#01>> _drought
Q18:Hopeful
Q19:Family and Friends,Respect,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Physical well-being
Q40:Lasting change
Q122:22-30
Q132:None
Q133:None
Q134:None

q2:My mother was a poor woman as Church mouse in the village. She kept on begging in the streets money but she freed us with what she got from the streets, i love her because of what she did to me and i thank God for giving me such a wonderful mother
Q3:A Responsible mother
Q4:Indidividual
Q6:Kenya
Q7:Nandi
Q8:Kamaloi Village
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-10-25-SOWETO-S*081-P*001>>_
Q18:Happy
Q19:Family and Friends,Respect,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Economic opportunity
Q40:Lasting change
Q122:22-30
Q132:None
Q133:None
Q134:V.I

q2:The woman Called Katusime moves from village to village moving with drugs to give the people so that the could have good health care.,
Q3:Healthcare
Q4:individual
Q6:Uganda
Q7:Mbarara
Q8:Kakoma
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-20-07-KAMPALA-S#001436-P#01>>_
Q18:Hopeful
Q19:Physical Needs,Creativity,Fun
Q23:4
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Social relations
Q40:It requires a continuous effort
Q122:22-30
Q132:None
Q133:None
Q134:Individual

q2:One day in our village there was hunting of people were believed to be witches and wizards .The search started immedietly and many houses were searched it was believed that they killed others go mad.A woman was taken to the police and charged with murder of the innocents.
Q3:WITCHCRAFT IN OUR VILLAGE
Q4:INDIVIDUAL
Q6:KENYA
Q7:BUSIA
Q9:7-12 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17: << {HORIZON}QUESTION 9 AND 15 WAS NOT ANSWERED 23-12-2011-BUSIA-S#059-P#01>>_
Q18:Inspired
Q19:Knowledge,Creativity,Fun
Q23:24
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:It requires a continuous effort
Q122:16-21
Q132:-0.07861100000000
Q133:34.77684100000000
Q134:Individual

q2:Once in Namachanja village there lived an old woman that was always distributing her daughter-in-law and mistreating her.The daughter -in-law did not know what to do or where to go.So one day the daughter -in-law did not take it any longer so one day she decided to discipline her mother-in-law this she did one night after this the mother-i-law has not distrurbed her again
Q3:MOTHER-IN-LAW FROM HELL
Q4:INDIVIDUL
Q6:KENYA
Q7:BUSIA
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<< {HORIZON}QUESTION 9 AND 15 WAS NOT ANSWERED 23-12-2011-BUSIA-S#062-P#01>> _
Q18:Disappointed
Q19:Knowledge,Creativity,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:Lasting change
Q122:16-21
Q132:-0.07861100000000
Q133:34.77684100000000
Q134:Individual

q2:There was a woman called herself midwife but had never gone in training.She was helping women in the village giving birth but she was not sure of whatever she was doing. She did this for a long time and then known as a midwife.A girl was taken to her with a first pregnancy,things became difficult instead of her taking the lady to the hospital she waited,and waited.The mother of the lady looked for means to take her daughter to the hospital but it was too late, the lady died on the road while being taken to the hospital
Q3:MIDWIFE
Q4:INDIVIDUAL
Q5:midwife, pregnancy, woman, training, mother
Q6:KENYA
Q7:KITALE
Q8:MAKINDU
Q9:More than 2 years ago
Q10:Female
Q12:Saw it happen
Q13:Nobody
Q15:Yes
Q17:<<17-12-11-TRANS-NZOIA EAST-S#001-P#01>>_
Q18:Disappointed
Q19:Knowledge,Creativity,Fun
Q23:88
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Social relations
Q40:It requires a continuous effort
Q122:22-30
Q132:-1.31201900000000
Q133:36.77454400000000
Q134:Individual

q2:171 Once there was a man in kibera called kamau.kamau was very hardworking.He had three children,njoroge,maina,and kamau.He had a wife called marylin.She was a very beautfull woman who didnt have much pride.But kamau didnt have the money to meet his familys needs.One day there was a white woman called mrs bridget.Bridget was very caring and loving.she started asking the villagers if she could help kamau.She asked if kamau was hardworking,the jealous said no.but his people wetre the majority so he was sponsored and also brought peace.
Q3:kamau
Q4:bridget
Q6:Kenya
Q7:Nairobi
Q8:jamhuri kibera
Q9:Less than 2 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:HORIZON<<2011-05-31-OGIRA-KIBERA-S#171-P#01>>_
Q18:Important
Q19:Food and shelter,Knowledge,Fun
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Economic opportunity
Q40:Mixed
Q122:22-30
Q132:-1.31201900000000
Q133:36.77454400000000
Q134:Bridget

Found 7 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 in ('16-21','22-30') 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[u4TVr9N9ycKd]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)