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5 stories matched (31-45 or 46-60 or Over 60) and Physical Needs and Female and man and wanted and girl

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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: 4/100 (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: 47/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.

q2:Last month around ngong road a man was tripped naked just because he abused a woman who was a former girl friend. They exchange words in bitteness then a woman called her friends to come and help her. She lied that the than wanted to rape her. Unfortunatly the man was rescued by a gang of men nearby and told the group that they were friends and we know them. The woman is just lying so that you sympathise with her. I took my brother's clothes and i gave him to cover his nakedness. He thanked me and told me that God bless you and see you.
Q3:Avil woman
Q4:community(ngando)
Q6:KENYA
Q7:NAIROBI
Q8:Ngando
Q9:Less than 2 months ago
Q10:Female
Q12:Saw it happen
Q13:Nobody
Q15:Yes
Q17:<<2012-05-28-DagorettiCorner-S#030-P#001>> (Horizon question 8 not answered)_
Q18:Unknown
Q19:Physical Needs,Creativity
Q23:95
Q37:Bad idea that will never work
Q38:Specific problem
Q39:Social relations
Q40:It requires a continuous effort
Q122:31-45
Q132:None
Q133:None
Q134:communities

q2:Many girls in Kibera slum were learning and they ended up living happy lives. This was burried by rape which led to unwanted pregnancy. The sitakimya project came in with a specific solution of assisting them.
Q3:School dropout
Q4:The Sitakimya Project
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA SILANGA
Q9:1-2 years ago
Q10:Female
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:hezekiah.ogira@yahoo.com <<2011-08-01-KIBERA-S#143-P#01>>_
Q18:Hopeful
Q19:Physical Needs,Knowledge,Creativity
Q23:98
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:It requires a continuous effort
Q122:31-45

q2: Grace was a beautiful girl. One day she fell in to the trap of a man. After some time she learned that the man was HIV positive. She wanted to commit suicide, but after counselling from a counsellor, she changed her mind, and now she is determined to live a happy life.
Q3:Bad Company
Q4:Individual
Q6:Kenya
Q7:Nairobi
Q8:Kariobangi
Q9:2-6 months ago
Q10:Female
Q12:Saw it happen
Q13:Nobody
Q15:Yes
Q17:[HORIZON]Questions 8 and 19 are not answered<<2012-07-03-DAGORETTI CORNER-S#230-P#01>>_
Q18:Unknown
Q19:Physical Needs,Knowledge,Self-esteem
Q37:Bad idea
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Individual

q2:A total orphan girl lived with her grandmother. At the age of 15-16yrs old she got married and gave birth to her first baby boy. The marriage broke after a short period. She went back to stay with her old maternal mother. The girl gave birth to a baby girl. her health was poor because of lucky of food. She called not even effort to buy clothing for a young baby. When the matter was disclosed the wife wanted to kill. The wife's husband did her and stay with her. Unfortunate after staying for months the girl started stealing the people's property and even sold part of them to her poor old grandmother at a throw always price. Which the widow discovered she ran back to her grandmother and again got married to another man. The man is a drunkard and she still lead a poor life.
Q3:A POOR GIRL WHO NEEDS HELP
Q4:PRAXIDES A MUNYENDO
Q5:maternal, health, marriage, age, birth
Q6:KENYA
Q7:Busia
Q8:BUGENDI SUBLOCATION
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:The wrong people
Q15:Yes
Q17:[HORIZON]<<2011-05-11-WEWASOF-HUMPHREY.KAKAMEGA-S#995-P#01>>_
Q18:Horrible
Q19:Food and shelter,Family and Friends,Physical Needs
Q37:Good idea that failed
Q38:Specific problem
Q39:Social relations
Q40:Mixed
Q122:46-60
Q132:-2.01198000000000
Q133:37.17074000000000
Q134:No Answer

q2:Peoples chances to get into university are established the moment they are choosing subjects and dropping other subjects. In the case of my daughter, i had to take time to counsel her on how choose the subjects. Though most teachers wanted her to do sciences because of career opportunities that are vast in that area, i told her not to focus on choosing sciences but i advised her to choose subjects based on what grades the subjects could give her enable her get into a university. she did exactly that and i remember vividly she chose History, C.R.E, which are humanities instead of sciences and other compulsory subjects plus agriculture. Many teacher as criticized her for that choice but i kept on encouraging her and 2009 when K.C.S.E results out, she was among the top girls in the province and she got an automatic qualification to a public university having got a A plain.
Q3:CHOOSING SUBJECTS
Q4:INDIVIDUAL
Q5:chances, choose, girls, give, teachers
Q6:KENYA
Q7:BUSIA
Q8:MUNDIKA
Q9:More than 2 years ago
Q10:Female
Q12:Helped make it happen
Q13:The right people
Q15:Yes
Q17:<>. QUESTION 9 ONE OPTION WAS PICKED _
Q18:Inspired
Q19:Family and Friends,Physical Needs,Freedom
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:46-60
Q132:-2.01198000000000
Q133:37.17074000000000
Q134:Individual

Found 5 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Physical Needs%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%man%' and q2 like '%wanted%' and q2 like '%girl%' ) or ( q3 like '%man%' and q3 like '%wanted%' and q3 like '%girl%' ) or ( q4 like '%man%' and q4 like '%wanted%' and q4 like '%girl%' ) or ( q5 like '%man%' and q5 like '%wanted%' and q5 like '%girl%' ) or ( q6 like '%man%' and q6 like '%wanted%' and q6 like '%girl%' ) or ( q7 like '%man%' and q7 like '%wanted%' and q7 like '%girl%' ) or ( q8 like '%man%' and q8 like '%wanted%' and q8 like '%girl%' ) or ( q11 like '%man%' and q11 like '%wanted%' and q11 like '%girl%' ) or ( q17 like '%man%' and q17 like '%wanted%' and q17 like '%girl%' ) or ( q26 like '%man%' and q26 like '%wanted%' and q26 like '%girl%' ) or ( q27 like '%man%' and q27 like '%wanted%' and q27 like '%girl%' ) or ( q28 like '%man%' and q28 like '%wanted%' and q28 like '%girl%' ) or ( q29 like '%man%' and q29 like '%wanted%' and q29 like '%girl%' ) or ( q35 like '%man%' and q35 like '%wanted%' and q35 like '%girl%' ) or ( q41 like '%man%' and q41 like '%wanted%' and q41 like '%girl%' ) or ( q42 like '%man%' and q42 like '%wanted%' and q42 like '%girl%' ) or ( q43 like '%man%' and q43 like '%wanted%' and q43 like '%girl%' ) or ( q46 like '%man%' and q46 like '%wanted%' and q46 like '%girl%' ) or ( q47 like '%man%' and q47 like '%wanted%' and q47 like '%girl%' ) or ( q60 like '%man%' and q60 like '%wanted%' and q60 like '%girl%' ) or ( q65 like '%man%' and q65 like '%wanted%' and q65 like '%girl%' ) or ( q70 like '%man%' and q70 like '%wanted%' and q70 like '%girl%' ) or ( q71 like '%man%' and q71 like '%wanted%' and q71 like '%girl%' ) or ( q72 like '%man%' and q72 like '%wanted%' and q72 like '%girl%' ) or ( q73 like '%man%' and q73 like '%wanted%' and q73 like '%girl%' ) or ( q74 like '%man%' and q74 like '%wanted%' and q74 like '%girl%' ) or ( q75 like '%man%' and q75 like '%wanted%' and q75 like '%girl%' ) or ( q76 like '%man%' and q76 like '%wanted%' and q76 like '%girl%' ) or ( q77 like '%man%' and q77 like '%wanted%' and q77 like '%girl%' ) or ( q80 like '%man%' and q80 like '%wanted%' and q80 like '%girl%' ) or ( q81 like '%man%' and q81 like '%wanted%' and q81 like '%girl%' ) or ( q86 like '%man%' and q86 like '%wanted%' and q86 like '%girl%' ) or ( q87 like '%man%' and q87 like '%wanted%' and q87 like '%girl%' ) or ( q88 like '%man%' and q88 like '%wanted%' and q88 like '%girl%' ) or ( q89 like '%man%' and q89 like '%wanted%' and q89 like '%girl%' ) or ( q98 like '%man%' and q98 like '%wanted%' and q98 like '%girl%' ) or ( q99 like '%man%' and q99 like '%wanted%' and q99 like '%girl%' ) or ( q110 like '%man%' and q110 like '%wanted%' and q110 like '%girl%' ) or ( q111 like '%man%' and q111 like '%wanted%' and q111 like '%girl%' ) or ( q116 like '%man%' and q116 like '%wanted%' and q116 like '%girl%' ) or ( q117 like '%man%' and q117 like '%wanted%' and q117 like '%girl%' ) or ( q123 like '%man%' and q123 like '%wanted%' and q123 like '%girl%' ) or ( q125 like '%man%' and q125 like '%wanted%' and q125 like '%girl%' ) or ( q132 like '%man%' and q132 like '%wanted%' and q132 like '%girl%' ) or ( q133 like '%man%' and q133 like '%wanted%' and q133 like '%girl%' ) or ( q134 like '%man%' and q134 like '%wanted%' and q134 like '%girl%' ) or ( q135 like '%man%' and q135 like '%wanted%' and q135 like '%girl%' ) or ( q136 like '%man%' and q136 like '%wanted%' and q136 like '%girl%' ) or ( q138 like '%man%' and q138 like '%wanted%' and q138 like '%girl%' ) or ( q141 like '%man%' and q141 like '%wanted%' and q141 like '%girl%' ) or ( q142 like '%man%' and q142 like '%wanted%' and q142 like '%girl%' ) or ( q151 like '%man%' and q151 like '%wanted%' and q151 like '%girl%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[HVWEDElR4YkD]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)