Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

3 stories matched Under 16 and Freedom and Male and village and woman

Your search did not match enough stories to do a complete analysis. Only basic information is showing.

How good is this collection? (45/100)
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: 98/100 (100% when every storytellers answer every question)
Diverse points of view: 3/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 77/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:In 2007 there was violence these caused many people suffer.Many girls and woman were raped by the GSU and village men.So there was an organisation that came and helped the people.The organisation was known as Sita Kimya.
Q3:STOP VIOLENCE
Q4:SITA KIMYA
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:[<<2012-11-27-KIBERA-S#367-P#01>>_
Q18:Disappointed
Q19:Knowledge,Creativity,Freedom
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:Sita Kimya

q2:My father had been sick for 9 months in Kenyatta National Hospital we had no money in order to bring him back home we had tried looking for money but no one was able to help us. One day as my mother was going to work as usual she met a woman who had seemed to be a new person to our village so she decided to talk to her and tell her our problems and the woman was pitty towards my mothers story and she help us with 10,000/= and in the hospital it was required 20,00/= so my mother a simple time to look for the remaining money.
Q3:No one but God
Q4:Individual
Q6:Kenya
Q7:Kisumu
Q8:Village
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-11-27-KIBERA-S#607-P#01>>_
Q18:Happy
Q19:Knowledge,Creativity,Freedom
Q23:50
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:Individual

q2: In our neighbour-hood in Uthiru village there lived a boy who was called Huduma. His parents died a year ago he was so lonely and often crying for the loss of his parents, he always had a pitty party of himself. There was a man who offered to take care of Huduma but this man was a drunkard and he used to drink alcohol. Without knowing this the child was taken to another woman who was mistreating him, beating him and even giving him alot of jobs in return the man was the one who was receiving Huduma's salary. This child being reminded about the parents death. He was also taken to the grave of his parents. One day a stick entered his leg the employer never minded, now the child lost his leg. One day a well wisher found him walking with one leg and was taken to hospital and was taken to hospital and went to school.
Q3:SUFFERING
Q4:INDIVIDUAL
Q5:salary, receiving, loss, year, giving
Q6:KENYA
Q7:NAIROBI
Q8:UTHIRU
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Unknown
Q17:MY NAME IS AMOS OCHARI MBOYA. [HORIZON] Question 17 was not answered. <<2011-04-22-CEPO-NDEGEYA-S#248-P#01>>_
Q18:Horrible
Q19:Food and shelter,Family and Friends,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Lasting change
Q122:Under 16
Q132:-1.25000000000000
Q133:36.71667000000000
Q134:Individual

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Freedom%' 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[7tcxqDYAeJxo]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)