Stories from Globalgiving Storytelling Project

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2 stories matched Respect and Under 16 and Female and scholarship

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

How good is this collection? (41/100)
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: 1/100 (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: 0/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 67/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:Members of Redcross donated food stuff and blankets to the drought hit areas this has beneft member society.more to that it offered scholarships to the youths of that area that had passed in their final exams and had not proceeded with their studies due to financial instability.
Q3:donation
Q4:Redcross community
Q6:KENYA
Q7:NAIROBI
Q8:Kasarani
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The wrong people
Q15:Yes
Q17:<<2011-05-31-NGONG&UTHIRU-S#-229P#01>>_
Q18:Important
Q19:Security,Respect,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Lasting change
Q122:Under 16

q2:Members of Redcross community donated food stuff and blankets to the drought hit areas this has benefit member society.More to that it offered scholarships to the youths of that area that had passed in their final exams and had not proceeded with their studies due to financial instability.
Q3:Donation
Q4:Red cross community
Q6:KENYA
Q7:NAIROBI
Q8:Kasarani
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-05-31-NGONG&UTHIRU-S#-229P#01>>_
Q18:Important
Q19:Security,Respect,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Physical well-being
Q40:Lasting change
Q122:Under 16

Found 2 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 = 'Under 16' and (( q2 like '%scholarship%' ) or ( q3 like '%scholarship%' ) or ( q4 like '%scholarship%' ) or ( q5 like '%scholarship%' ) or ( q6 like '%scholarship%' ) or ( q7 like '%scholarship%' ) or ( q8 like '%scholarship%' ) or ( q11 like '%scholarship%' ) or ( q17 like '%scholarship%' ) or ( q26 like '%scholarship%' ) or ( q27 like '%scholarship%' ) or ( q28 like '%scholarship%' ) or ( q29 like '%scholarship%' ) or ( q35 like '%scholarship%' ) or ( q41 like '%scholarship%' ) or ( q42 like '%scholarship%' ) or ( q43 like '%scholarship%' ) or ( q46 like '%scholarship%' ) or ( q47 like '%scholarship%' ) or ( q60 like '%scholarship%' ) or ( q65 like '%scholarship%' ) or ( q70 like '%scholarship%' ) or ( q71 like '%scholarship%' ) or ( q72 like '%scholarship%' ) or ( q73 like '%scholarship%' ) or ( q74 like '%scholarship%' ) or ( q75 like '%scholarship%' ) or ( q76 like '%scholarship%' ) or ( q77 like '%scholarship%' ) or ( q80 like '%scholarship%' ) or ( q81 like '%scholarship%' ) or ( q86 like '%scholarship%' ) or ( q87 like '%scholarship%' ) or ( q88 like '%scholarship%' ) or ( q89 like '%scholarship%' ) or ( q98 like '%scholarship%' ) or ( q99 like '%scholarship%' ) or ( q110 like '%scholarship%' ) or ( q111 like '%scholarship%' ) or ( q116 like '%scholarship%' ) or ( q117 like '%scholarship%' ) or ( q123 like '%scholarship%' ) or ( q125 like '%scholarship%' ) or ( q132 like '%scholarship%' ) or ( q133 like '%scholarship%' ) or ( q134 like '%scholarship%' ) or ( q135 like '%scholarship%' ) or ( q136 like '%scholarship%' ) or ( q138 like '%scholarship%' ) or ( q141 like '%scholarship%' ) or ( q142 like '%scholarship%' ) or ( q151 like '%scholarship%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[iBYv4u8vnZ7I]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)