2 stories matched Respect and Under 16 and Male and community and friend
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
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: 37/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.
1 distinct clusters within this collection: 1 - (Uncategorized) - 2 stories
q2:In our community there was a man whose name was Onyango.Onyango a very good friend of mine.I usually Love him.The boy was very poor.One day he was sick and he did not Love enough money to go to the hospital.After a short time the Keny Red Cross(KRC). This had helped people in several ways and people really love this organization in our community at all.( Q3:The poor man Q4:KENYA RED CROSS Q6:KENYA Q7:NAIROBI Q8:KIBERA Q9:More than 2 years ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-10-12-SIAYA KIBERA-S#182-P#01>>_ Q18:Inspired Q19:Physical Needs,Respect,Freedom Q23:96 Q37:Good idea that succeeded Q38:Specific solution Q39:Physical well-being Q40:It requires a continuous effort Q122:Under 16 Q132:None Q133:None Q134:Red Cross
q2:It was 2003 in our apartment in Western in Nairobi where the cousins family had an accident in their home which led to their house being burnt to ashes.
It was a sad story indeed and we as their neighbors intended to help the best way we know how and we and the community in large set up an organization known as help a friend campaign to help the cousin re-build their home brick by brick until they were able to get back on their feet. The community were so supportive of our campaign and we were able to raise a total mean of 1.5 million which we gave to the cousins family.
Q3:Community help Q4:Help a friend campaign Q5:neighbors, million, able, back, campaign Q6:KENYA Q7:Westland Q8:Adams luxurious apartment Q9:More than 2 years ago Q10:Male Q12:Helped make it happen Q13:The right people Q15:Yes Q17:<<2011-10-24-KAKAMEGA-S#001-P#037>>_ Q18:Inspired Q19:Security,Family and Friends,Respect Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:Mixed Q122:Under 16 Q132:-1.26667000000000 Q133:36.80000000000000 Q134:None
 
Found 2 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Respect%' and q122 = 'Under 16' and (( q2 like '%community%' and q2 like '%friend%' ) or ( q3 like '%community%' and q3 like '%friend%' ) or ( q4 like '%community%' and q4 like '%friend%' ) or ( q5 like '%community%' and q5 like '%friend%' ) or ( q6 like '%community%' and q6 like '%friend%' ) or ( q7 like '%community%' and q7 like '%friend%' ) or ( q8 like '%community%' and q8 like '%friend%' ) or ( q11 like '%community%' and q11 like '%friend%' ) or ( q17 like '%community%' and q17 like '%friend%' ) or ( q26 like '%community%' and q26 like '%friend%' ) or ( q27 like '%community%' and q27 like '%friend%' ) or ( q28 like '%community%' and q28 like '%friend%' ) or ( q29 like '%community%' and q29 like '%friend%' ) or ( q35 like '%community%' and q35 like '%friend%' ) or ( q41 like '%community%' and q41 like '%friend%' ) or ( q42 like '%community%' and q42 like '%friend%' ) or ( q43 like '%community%' and q43 like '%friend%' ) or ( q46 like '%community%' and q46 like '%friend%' ) or ( q47 like '%community%' and q47 like '%friend%' ) or ( q60 like '%community%' and q60 like '%friend%' ) or ( q65 like '%community%' and q65 like '%friend%' ) or ( q70 like '%community%' and q70 like '%friend%' ) or ( q71 like '%community%' and q71 like '%friend%' ) or ( q72 like '%community%' and q72 like '%friend%' ) or ( q73 like '%community%' and q73 like '%friend%' ) or ( q74 like '%community%' and q74 like '%friend%' ) or ( q75 like '%community%' and q75 like '%friend%' ) or ( q76 like '%community%' and q76 like '%friend%' ) or ( q77 like '%community%' and q77 like '%friend%' ) or ( q80 like '%community%' and q80 like '%friend%' ) or ( q81 like '%community%' and q81 like '%friend%' ) or ( q86 like '%community%' and q86 like '%friend%' ) or ( q87 like '%community%' and q87 like '%friend%' ) or ( q88 like '%community%' and q88 like '%friend%' ) or ( q89 like '%community%' and q89 like '%friend%' ) or ( q98 like '%community%' and q98 like '%friend%' ) or ( q99 like '%community%' and q99 like '%friend%' ) or ( q110 like '%community%' and q110 like '%friend%' ) or ( q111 like '%community%' and q111 like '%friend%' ) or ( q116 like '%community%' and q116 like '%friend%' ) or ( q117 like '%community%' and q117 like '%friend%' ) or ( q123 like '%community%' and q123 like '%friend%' ) or ( q125 like '%community%' and q125 like '%friend%' ) or ( q132 like '%community%' and q132 like '%friend%' ) or ( q133 like '%community%' and q133 like '%friend%' ) or ( q134 like '%community%' and q134 like '%friend%' ) or ( q135 like '%community%' and q135 like '%friend%' ) or ( q136 like '%community%' and q136 like '%friend%' ) or ( q138 like '%community%' and q138 like '%friend%' ) or ( q141 like '%community%' and q141 like '%friend%' ) or ( q142 like '%community%' and q142 like '%friend%' ) or ( q151 like '%community%' and q151 like '%friend%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[XGanZMWWsgOQ]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)