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3 stories matched Self-esteem and (31-45 or 46-60 or Over 60) and Male and girl and police

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How good is this collection? (53/100)
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Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.

Diverse sources: 3/100 (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: 80/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 30/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.

q2:It was on a friday evening. The setting of the sun had coloured the western horizon brik- red clongetted shadows looked lanlky. when i was walking in a belt of beautiful girls. I saw a policeman wiht some drugs in hs hands. For a minute, he called a pasone where we were infact some questions crees croses my mind. Without westing time the police gave that person some drugs to curry. After waling for a distance kthe police stand to the parson and said,"where are you taking this drugs", the police asked. The man started fighting the police and the police was left with a gape in the mouth.
Q3:The drug abuse
Q4:The Friends
Q5:friday, hs, friends, drugs, abuse
Q6:Kenya
Q7:Nairobi
Q8:KIBERA
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:(HORIZON)<<2011-05-24-KIBERA-S#175-P#01>>_
Q18:Horrible
Q19:Knowledge,Self-esteem,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Economic opportunity
Q40:Lasting change
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:No Answer

q2:It is six months since my friend got lost.She was kidnapped by a man who's face was frightened.He took her to his car and drove him as faster he could.The girl screamed loud but nobody was there to rescue her.She was taken to a place where was full of dust and smelt like rotten eggs.They phoned the police and came to her rescue.She was exploited and treated thoroughly.
Q3:CHILD LABOURER
Q4:Government of Kenya
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA-KISUM UNDOGO
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Unknown
Q17:hezekiah.ogira@yahoo.com.[HORIZON] Question 17 was not answered.<<2011-03-30-Kibera-Ogira-Magoso-S#046-P#01>>_a child going to cell plastics.
Q18:Important
Q19:Security,Self-esteem,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Economic opportunity
Q40:Lasting change
Q122:31-45
Q132:-1.31201900000000
Q133:36.77454400000000
Q134:Government

q2: The school girl lost her life after being punished by the teacher due to sneaking every time and leen from school to the nearby vilage. After thorough canning,she started bleeding alover we opennings.She was rushed to the nearby clinic for further assisted.The girl overbled.The girl passed away when she was under medication. The teacher was later got arrested by the police.From that day canning was completely banned to all schools in Kenya.
Q3:COPRAL PUNISHMENT
Q4:Mr.Otieno
Q5:clinic, medication, girl, schools, kenya
Q6:Kenya
Q7:Kisumu
Q8:Nyalenda
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:Nobody
Q15:Yes
Q17:<<2011-03-04-Soweto-Merygoround Youth Group-S#214-P#01>>_
Q18:Horrible
Q19:Security,Self-esteem,Freedom
Q23:-1
Q37:Good idea that failed
Q38:Broad need
Q39:Social relations
Q40:Lasting change
Q122:31-45
Q132:-0.15000000000000
Q133:34.75000000000000
Q134:Individual

Found 3 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Self-esteem%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%girl%' and q2 like '%police%' ) or ( q3 like '%girl%' and q3 like '%police%' ) or ( q4 like '%girl%' and q4 like '%police%' ) or ( q5 like '%girl%' and q5 like '%police%' ) or ( q6 like '%girl%' and q6 like '%police%' ) or ( q7 like '%girl%' and q7 like '%police%' ) or ( q8 like '%girl%' and q8 like '%police%' ) or ( q11 like '%girl%' and q11 like '%police%' ) or ( q17 like '%girl%' and q17 like '%police%' ) or ( q26 like '%girl%' and q26 like '%police%' ) or ( q27 like '%girl%' and q27 like '%police%' ) or ( q28 like '%girl%' and q28 like '%police%' ) or ( q29 like '%girl%' and q29 like '%police%' ) or ( q35 like '%girl%' and q35 like '%police%' ) or ( q41 like '%girl%' and q41 like '%police%' ) or ( q42 like '%girl%' and q42 like '%police%' ) or ( q43 like '%girl%' and q43 like '%police%' ) or ( q46 like '%girl%' and q46 like '%police%' ) or ( q47 like '%girl%' and q47 like '%police%' ) or ( q60 like '%girl%' and q60 like '%police%' ) or ( q65 like '%girl%' and q65 like '%police%' ) or ( q70 like '%girl%' and q70 like '%police%' ) or ( q71 like '%girl%' and q71 like '%police%' ) or ( q72 like '%girl%' and q72 like '%police%' ) or ( q73 like '%girl%' and q73 like '%police%' ) or ( q74 like '%girl%' and q74 like '%police%' ) or ( q75 like '%girl%' and q75 like '%police%' ) or ( q76 like '%girl%' and q76 like '%police%' ) or ( q77 like '%girl%' and q77 like '%police%' ) or ( q80 like '%girl%' and q80 like '%police%' ) or ( q81 like '%girl%' and q81 like '%police%' ) or ( q86 like '%girl%' and q86 like '%police%' ) or ( q87 like '%girl%' and q87 like '%police%' ) or ( q88 like '%girl%' and q88 like '%police%' ) or ( q89 like '%girl%' and q89 like '%police%' ) or ( q98 like '%girl%' and q98 like '%police%' ) or ( q99 like '%girl%' and q99 like '%police%' ) or ( q110 like '%girl%' and q110 like '%police%' ) or ( q111 like '%girl%' and q111 like '%police%' ) or ( q116 like '%girl%' and q116 like '%police%' ) or ( q117 like '%girl%' and q117 like '%police%' ) or ( q123 like '%girl%' and q123 like '%police%' ) or ( q125 like '%girl%' and q125 like '%police%' ) or ( q132 like '%girl%' and q132 like '%police%' ) or ( q133 like '%girl%' and q133 like '%police%' ) or ( q134 like '%girl%' and q134 like '%police%' ) or ( q135 like '%girl%' and q135 like '%police%' ) or ( q136 like '%girl%' and q136 like '%police%' ) or ( q138 like '%girl%' and q138 like '%police%' ) or ( q141 like '%girl%' and q141 like '%police%' ) or ( q142 like '%girl%' and q142 like '%police%' ) or ( q151 like '%girl%' and q151 like '%police%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[P0nX6U6EwX1b]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)