Stories from Globalgiving Storytelling Project

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3 stories matched Respect and Under 16 and Male and tree and life

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How good is this collection? (55/100)
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: 95/100 (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: 54/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:A few years ago there was a boy who was an orphan who lived with his grandmother. Both of his parents had died of a dangerous disease 'AIDS' which has killed over 20 million people in Kenya. The boy had nothing else to do other than to end up in streets. He stayed in .streets for one month and his life was becoming miserable. While in the streets he met with the Jitegemee Director. He was brought to Jitegemee and was told that he will go to school. The boy was so greatful and he promised to work hard. He did as he promised and now the boy is in university and he said that he would like to be a flying doctor. That is a great inspiring story i will never forget.
Q3:An inspiring story i will never forget.
Q4:Jitegemee Children's Programme
Q6:Kenya
Q7:Machakos
Q8:Eastleigh
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Question 00 was not answered <<08-03-2012-MACHAKOS-s#012-p#01>> _
Q18:Inspired
Q19:Food and shelter,Knowledge,Respect
Q23:86
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:It requires a continuous effort
Q122:Under 16
Q132:-1.61667000000000
Q133:37.21667000000000
Q134:None

q2:Once upon a time there was a person who was /called Ng'atu. He was a boy of about eight years old. He was a street boy. He was going everywhere asking for help. He lived with his parents in Mombasa and their home was Makueni. He was left alone in Mombasa town. One day he was helped and came to Machakos. Our program Jitegemee saw him and helped him. He was a hardworking boy. He told how his life was. He wanted to be educated. He was educate and now he is in Nazareth University in Eldoret. He would like to be a pilot.
Q3:The hardworking boy
Q4:Jitegemee
Q6:Kenya
Q7:Makueni
Q8:Mjini
Q9:Less than 2 months ago
Q10:Male
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:[HORIZON]Question 20 was not answered<<08-03-2012-MACHAKOS-S#002-P#01>>_
Q18:Inspired
Q19:Food and shelter,Knowledge,Respect
Q23:91
Q37:Good idea that succeeded
Q38:Broad need
Q39:Economic opportunity
Q40:It requires a continuous effort
Q122:Under 16
Q132:-1.31615900000000
Q133:36.79246200000000
Q134:None

q2:My name is Paul. I had no Father as he probably left Mother while i was still too small. My mother was married to a Step Father where the conditions that followed thereby were very unfriendly and unbearable to the extend that i took off to the streets of Kakamenga Town. I had to suffer for quite a while on the streets before encountering a caring organisation called WEAEP which pulled me from troubles. They tried to rehabilitate me in 2010 by first of all building my emotional status. They counselled me and prepared me to face life with hope. I have gained greatly from this input of WEAEP.
Q3:I WAS REMEMBERED AT LONG LAST
Q4:WEAEP
Q5:input, prepared, hope, long, building
Q6:Kenya
Q7:Kakamenga
Q8:Municipality
Q9:More than 2 years ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:Yes
Q17:<<2011-03-08-WEWASOKA-KAKAMEGA-S#214-P#01>>_
Q18:Hopeful
Q19:Knowledge,Respect,Self-esteem
Q23:50
Q37:Good idea that worked somewhat
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:Under 16
Q132:-0.50000000000000
Q133:31.75000000000000
Q134:Weaep

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Respect%' and q122 = 'Under 16' and (( q2 like '%tree%' and q2 like '%life%' ) or ( q3 like '%tree%' and q3 like '%life%' ) or ( q4 like '%tree%' and q4 like '%life%' ) or ( q5 like '%tree%' and q5 like '%life%' ) or ( q6 like '%tree%' and q6 like '%life%' ) or ( q7 like '%tree%' and q7 like '%life%' ) or ( q8 like '%tree%' and q8 like '%life%' ) or ( q11 like '%tree%' and q11 like '%life%' ) or ( q17 like '%tree%' and q17 like '%life%' ) or ( q26 like '%tree%' and q26 like '%life%' ) or ( q27 like '%tree%' and q27 like '%life%' ) or ( q28 like '%tree%' and q28 like '%life%' ) or ( q29 like '%tree%' and q29 like '%life%' ) or ( q35 like '%tree%' and q35 like '%life%' ) or ( q41 like '%tree%' and q41 like '%life%' ) or ( q42 like '%tree%' and q42 like '%life%' ) or ( q43 like '%tree%' and q43 like '%life%' ) or ( q46 like '%tree%' and q46 like '%life%' ) or ( q47 like '%tree%' and q47 like '%life%' ) or ( q60 like '%tree%' and q60 like '%life%' ) or ( q65 like '%tree%' and q65 like '%life%' ) or ( q70 like '%tree%' and q70 like '%life%' ) or ( q71 like '%tree%' and q71 like '%life%' ) or ( q72 like '%tree%' and q72 like '%life%' ) or ( q73 like '%tree%' and q73 like '%life%' ) or ( q74 like '%tree%' and q74 like '%life%' ) or ( q75 like '%tree%' and q75 like '%life%' ) or ( q76 like '%tree%' and q76 like '%life%' ) or ( q77 like '%tree%' and q77 like '%life%' ) or ( q80 like '%tree%' and q80 like '%life%' ) or ( q81 like '%tree%' and q81 like '%life%' ) or ( q86 like '%tree%' and q86 like '%life%' ) or ( q87 like '%tree%' and q87 like '%life%' ) or ( q88 like '%tree%' and q88 like '%life%' ) or ( q89 like '%tree%' and q89 like '%life%' ) or ( q98 like '%tree%' and q98 like '%life%' ) or ( q99 like '%tree%' and q99 like '%life%' ) or ( q110 like '%tree%' and q110 like '%life%' ) or ( q111 like '%tree%' and q111 like '%life%' ) or ( q116 like '%tree%' and q116 like '%life%' ) or ( q117 like '%tree%' and q117 like '%life%' ) or ( q123 like '%tree%' and q123 like '%life%' ) or ( q125 like '%tree%' and q125 like '%life%' ) or ( q132 like '%tree%' and q132 like '%life%' ) or ( q133 like '%tree%' and q133 like '%life%' ) or ( q134 like '%tree%' and q134 like '%life%' ) or ( q135 like '%tree%' and q135 like '%life%' ) or ( q136 like '%tree%' and q136 like '%life%' ) or ( q138 like '%tree%' and q138 like '%life%' ) or ( q141 like '%tree%' and q141 like '%life%' ) or ( q142 like '%tree%' and q142 like '%life%' ) or ( q151 like '%tree%' and q151 like '%life%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[tcioPn4NqZ91]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)