Stories from Globalgiving Storytelling Project

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3 stories matched Respect and Under 16 and Female and university

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How good is this collection? (54/100)
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: 93/100 (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: 51/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:One monday morning as the birds of air were singing their sweet melodius songs to welcome the newly born day, my mother told me that we were to head to the market. When i heard that joyful tears rolled down my cheeks. As quick as lightning i went to the frogs' kingdom where i took a cold refreshing shower that send me shaking like a leaf against whirlwind. I then prepared myself to spin and span. When I finished that we started going to the market. No sooner we arrived to the market. As we were at the market i saw a child who looked as tired as hyena. I called herb with a loud voice. As soon as possible she was there. We asked her name and said love. Then we went to home. As the days were passing by and by the girl joined form one. She worked hard remembering that hard work pays. By good lack she finished form four and joined university on Nairobi. There she still work hard. After a few years she finished university and became a doctor. Now she is a doctor and she is helping my mother and other people. That is when i knew that when you help somebody you help yourself.
Q3:Help somebody to help yourself
Q4:Individual
Q6:Kenya
Q7:Makueni
Q8:Yaumba village
Q9:More than 2 years ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Question 20 was not answered <<08-03-2012-MACHAKOS-S#034-P#01>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Respect
Q23:96
Q37:Good idea that succeeded
Q38:Broad need
Q39:Economic opportunity
Q40:It requires a continuous effort
Q122:Under 16
Q132:-1.83333000000000
Q133:37.66667000000000
Q134:Individual

q2:Three years ago i met a boy known as Kiboi. His parents had past away and he had nowhere to go. Two weeks later he was sent away from school for he had not paid his fees. His relatives could not help him to continue on his education, ;so he decided to go and there looking for a job to earn some money. Fortunately he got a man who employed him. He worked for a month and one day he talked to his employee and told him all about his problems. His employee decided to educate him from where he stopped his school. He was taken to machakos primary where he did his Kenya Certificate of Primary Education and past with flying colours. He went in high school and past too. He was taken in a University in Kenya and succuceded as a Doctor. Today he is working.
Q3:How Kiboi's life was changed
Q4:Individual
Q6:Kenya
Q7:Machakos
Q8:Kyasoo
Q9:1-2 years ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Question 00 was not answered <<08-03-2012-MACHAKOS-S#020-P#01>> _
Q18:Inspired
Q19:Food and shelter,Knowledge,Respect
Q23:10
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Economic opportunity
Q40:Temporary change
Q122:Under 16
Q132:-1.61667000000000
Q133:37.21667000000000
Q134:Individual

q2:The principal Mr Dalmas had sent me out of school because of a large fee balance of almost thirteen thousand that i owed to the school. I did not know where to get that kind om many since i was leaving with my grandmother who could not afford the cash. By good chance i met ogolla a church member who is a university lecturer at Masinde Muliro Uniiversity of Science and Technology.Ispoke to him about the issue and he promised to infact pay my entire years fee after clearing the balance. Today i am in school doing my final year.
Q3:SCHOOL FEES
Q4:Individuals
Q6:Kenya
Q7:BUSIA
Q8:Brother Nicholaus Sec
Q9:2-6 months ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:<<2012-06-19-BUSIA-S#514-P#01>>_
Q18:Inspired
Q19:Physical Needs,Knowledge,Respect
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:Under 16
Q132:None
Q133:None
Q134:Individuals

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 = 'Under 16' and (( q2 like '%university%' ) or ( q3 like '%university%' ) or ( q4 like '%university%' ) or ( q5 like '%university%' ) or ( q6 like '%university%' ) or ( q7 like '%university%' ) or ( q8 like '%university%' ) or ( q11 like '%university%' ) or ( q17 like '%university%' ) or ( q26 like '%university%' ) or ( q27 like '%university%' ) or ( q28 like '%university%' ) or ( q29 like '%university%' ) or ( q35 like '%university%' ) or ( q41 like '%university%' ) or ( q42 like '%university%' ) or ( q43 like '%university%' ) or ( q46 like '%university%' ) or ( q47 like '%university%' ) or ( q60 like '%university%' ) or ( q65 like '%university%' ) or ( q70 like '%university%' ) or ( q71 like '%university%' ) or ( q72 like '%university%' ) or ( q73 like '%university%' ) or ( q74 like '%university%' ) or ( q75 like '%university%' ) or ( q76 like '%university%' ) or ( q77 like '%university%' ) or ( q80 like '%university%' ) or ( q81 like '%university%' ) or ( q86 like '%university%' ) or ( q87 like '%university%' ) or ( q88 like '%university%' ) or ( q89 like '%university%' ) or ( q98 like '%university%' ) or ( q99 like '%university%' ) or ( q110 like '%university%' ) or ( q111 like '%university%' ) or ( q116 like '%university%' ) or ( q117 like '%university%' ) or ( q123 like '%university%' ) or ( q125 like '%university%' ) or ( q132 like '%university%' ) or ( q133 like '%university%' ) or ( q134 like '%university%' ) or ( q135 like '%university%' ) or ( q136 like '%university%' ) or ( q138 like '%university%' ) or ( q141 like '%university%' ) or ( q142 like '%university%' ) or ( q151 like '%university%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[P7Ndf7fe81AP]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)