Stories from Globalgiving Storytelling Project

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2 stories matched Under 16 and Self-esteem and Male 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: 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: 60/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 38/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.

q2: This is a story about a woman who was laid pregnant and could not afford to raise the baby for his husband was dead and she was thrown out of the village and everything that she had with her husband were taken away by the villagers for they knew that. she was a witch as she was the one who killed her husband in order to take away her properties. The woman really survived without food or water for she could not do anyjob as she was dirty and sometimes stinking.It was really a painful experience to see her walk by herself on the road as I almost cried out whenever I saw her begging for food.one day as she work up from where she usually sleep in.an a good samaritan.saw her struggling.as the baby she was carrying was almost coming.the samaritan helped her and took her to the nearby hospital where she conceived the he paid her hospital bill.and decided to live with her.Now the two are married and the bidy is working as a doctor. truly a person can come from rags to riches.
Q3:FROM RAGS TO RICHES.
Q4:INDIVIDUAL
Q6:KENYA
Q7:NAIROBI
Q8:SOWETO
Q9:1-2 years ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17: Question 6,11 and 20 were not answered<<2012-12-18-SOWETO-S#122-P#01>>_
Q18:Inspired
Q19:Food and shelter,Creativity,Self-esteem
Q23:100
Q37:Unknown
Q38:Broad need
Q39:Social relations
Q40:Lasting change
Q122:Under 16
Q132:None
Q133:None
Q134:Individual

q2:Long time ago in a community of Masai there was worrier who was very bravely and hand some looks made all the girls of the village fall in love with him. It came to appoint that the worrier was to leave his own community and go far away to fight . The worrier gave his lovers some conditions to be followed. He called the youngest of his eight lovers and told her to put fresh milk in a small guard . He also instructed to keep checking on the color of the milk everyday. If the milk turned red the worrier would have been killed or will be in a seriously wounded. After a short time of leaving the lover check the milk and saw that it was turning slowly reddish, so the lover find a way to look for his worrier. She travelled for a long time and finnaly she came across him. He was in a serious wounded and was dyeing. The woman washed the wounds everyday and look food to feed his husband and after one month the worrier recover his health and from that day they live happily life.
Q3:THE WORRIER WHO HAD EIGHT LOVERS
Q4:MASAI
Q5:wounded, recover, wounds, small, fight
Q6:KENYA
Q7:MASAI
Q8:CHEPLANGAT
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:[HORIZON]<<2011-09-24-TYSAKITALE-S#153-P#01>>_
Q18:Indifferent
Q19:Physical Needs,Knowledge,Self-esteem
Q23:1
Q37:Bad idea that worked despite itself
Q38:Specific solution
Q39:Social relations
Q40:Temporary change
Q122:Under 16
Q132:-0.13144000000000
Q133:35.58550000000000
Q134:None

Found 2 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Self-esteem%' and q122 = 'Under 16' 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[UwmNrkyxCcX3]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)