3 stories matched Freedom and (16-21 or 22-30) and Female and business and woman and job
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (56/100) 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: 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: 57/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.
There is not enough diversity to do cluster analysis for this collection.
One of these is the same (or missing) from the group:
Organization name
City
Neighborhood
Storyteller id: name or phone number
Scribe/story collector id: name or phone number
q2:A woman who had a husband, and he has a casual job where the woman depends on him for every thing. One time she sat down and think what to do. She asked her husband to support her with a capital to start a small business.
After she was given, she opened an open air market where she puts varieties of goods. As she was selling and get profit she increases her stocks and she never again depend the husband. She does her shopping in the house which pleased the husband very much. Q3:Open air market Q4:INDIVIDUAL Q6:Kenya Q7:Kitale Q8:Chebarus Q9:2-6 months ago Q10:Female Q12:Heard about it happening Q13:The right people Q15:Yes Q17:[HORIZON] Question 19 not answered<<2012-09-26-KIBAGARE/MZESA-S#285-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Freedom Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
q2:The after month was a highlight on citizen TV which was all a bout physical disability.In this highlights was a single mother who was mentally hand caped and had 3 sons and1 daughter the mother was jobless and did some small businesses so as to make the end meet.The most challenging thing was discrimination she faced from neighbours and landlord and this made everything hard for her till a certain woman took them in just for some time and now the family was all over the media seeking for help. Q3:Disability in the society Q4:Media Q6:Kenya Q7:Nairobi Q8:Nyahururu Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-08-25-MATHARE-S#135-S#01>>_ Q18:Horrible Q19:Food and shelter,Physical Needs,Freedom Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:22-30 Q132:-1.13333000000000 Q133:34.55000000000000 Q134:News Media
q2: There lived a very poor family in Tororo who had a small grass thatched hut without even grass to cover its roof, in that they didn't need a candle to light in the house, it was provided naturally ie. moon & whenever it could rain. and parents had to carry their kids on their shoulders and heads coz their house could get full with water to their waiste level. Apart from that, getting food and other basic needs was a tag of war coz even their woman's mother-in law would not allow her to farm in the family land.
Luckily enough the man came to Kampala and got a well paying job and transfered to Kampala with all his family of and members in1991 and life went on well until when he died in 1997 considering that the wife was not working, life became difficult again and this time more worse than before. The kids had to stop schooling and became street kids, they would eat once a day or go to be bed on an empty stomach, were thrown out of their house, so they had sleep on peoples varandas. During this time, one of the big girls wa raped by thieves and got her pregnant unfortunately she died while giving birth to the baby.
A friend to the late man gave the late man's wife 10,000 to pay for the kids school fees but instead she sent them back to Tororo to go for (U.P.E) b'se the money was little to pay school fees while she stayed behind to struggle with life. She used the 10000 to start a business of selling dry fish and thanks be to God she has managed to build a house take her kids to school. One finished though still looking for a job and another soon graduating in September 2011. All the success was all becoz of a friends help and her creativity of using the 10000 to start up a small business which later grew and paid school fees too. Q3: GOODS THINGS DON\T JUST COME EASILY Q4:INDIVIDUAL Q5:september, house, pay, need, level Q6:UGANDA Q7:TORORO & KAMPALA Q8:MAGOLA IN TORORO & LUBIRI Q9:More than 2 years ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<15-11-2011-RETRACK-S#034-P#01>>_ Q18:Inspired Q19:Food and shelter,Family and Friends,Freedom Q37:Good idea that succeeded Q38:Broad need Q39:Physical well-being Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
 
Found 3 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Freedom%' and q122 in ('16-21','22-30') and (( q2 like '%business%' and q2 like '%woman%' and q2 like '%job%' ) or ( q3 like '%business%' and q3 like '%woman%' and q3 like '%job%' ) or ( q4 like '%business%' and q4 like '%woman%' and q4 like '%job%' ) or ( q5 like '%business%' and q5 like '%woman%' and q5 like '%job%' ) or ( q6 like '%business%' and q6 like '%woman%' and q6 like '%job%' ) or ( q7 like '%business%' and q7 like '%woman%' and q7 like '%job%' ) or ( q8 like '%business%' and q8 like '%woman%' and q8 like '%job%' ) or ( q11 like '%business%' and q11 like '%woman%' and q11 like '%job%' ) or ( q17 like '%business%' and q17 like '%woman%' and q17 like '%job%' ) or ( q26 like '%business%' and q26 like '%woman%' and q26 like '%job%' ) or ( q27 like '%business%' and q27 like '%woman%' and q27 like '%job%' ) or ( q28 like '%business%' and q28 like '%woman%' and q28 like '%job%' ) or ( q29 like '%business%' and q29 like '%woman%' and q29 like '%job%' ) or ( q35 like '%business%' and q35 like '%woman%' and q35 like '%job%' ) or ( q41 like '%business%' and q41 like '%woman%' and q41 like '%job%' ) or ( q42 like '%business%' and q42 like '%woman%' and q42 like '%job%' ) or ( q43 like '%business%' and q43 like '%woman%' and q43 like '%job%' ) or ( q46 like '%business%' and q46 like '%woman%' and q46 like '%job%' ) or ( q47 like '%business%' and q47 like '%woman%' and q47 like '%job%' ) or ( q60 like '%business%' and q60 like '%woman%' and q60 like '%job%' ) or ( q65 like '%business%' and q65 like '%woman%' and q65 like '%job%' ) or ( q70 like '%business%' and q70 like '%woman%' and q70 like '%job%' ) or ( q71 like '%business%' and q71 like '%woman%' and q71 like '%job%' ) or ( q72 like '%business%' and q72 like '%woman%' and q72 like '%job%' ) or ( q73 like '%business%' and q73 like '%woman%' and q73 like '%job%' ) or ( q74 like '%business%' and q74 like '%woman%' and q74 like '%job%' ) or ( q75 like '%business%' and q75 like '%woman%' and q75 like '%job%' ) or ( q76 like '%business%' and q76 like '%woman%' and q76 like '%job%' ) or ( q77 like '%business%' and q77 like '%woman%' and q77 like '%job%' ) or ( q80 like '%business%' and q80 like '%woman%' and q80 like '%job%' ) or ( q81 like '%business%' and q81 like '%woman%' and q81 like '%job%' ) or ( q86 like '%business%' and q86 like '%woman%' and q86 like '%job%' ) or ( q87 like '%business%' and q87 like '%woman%' and q87 like '%job%' ) or ( q88 like '%business%' and q88 like '%woman%' and q88 like '%job%' ) or ( q89 like '%business%' and q89 like '%woman%' and q89 like '%job%' ) or ( q98 like '%business%' and q98 like '%woman%' and q98 like '%job%' ) or ( q99 like '%business%' and q99 like '%woman%' and q99 like '%job%' ) or ( q110 like '%business%' and q110 like '%woman%' and q110 like '%job%' ) or ( q111 like '%business%' and q111 like '%woman%' and q111 like '%job%' ) or ( q116 like '%business%' and q116 like '%woman%' and q116 like '%job%' ) or ( q117 like '%business%' and q117 like '%woman%' and q117 like '%job%' ) or ( q123 like '%business%' and q123 like '%woman%' and q123 like '%job%' ) or ( q125 like '%business%' and q125 like '%woman%' and q125 like '%job%' ) or ( q132 like '%business%' and q132 like '%woman%' and q132 like '%job%' ) or ( q133 like '%business%' and q133 like '%woman%' and q133 like '%job%' ) or ( q134 like '%business%' and q134 like '%woman%' and q134 like '%job%' ) or ( q135 like '%business%' and q135 like '%woman%' and q135 like '%job%' ) or ( q136 like '%business%' and q136 like '%woman%' and q136 like '%job%' ) or ( q138 like '%business%' and q138 like '%woman%' and q138 like '%job%' ) or ( q141 like '%business%' and q141 like '%woman%' and q141 like '%job%' ) or ( q142 like '%business%' and q142 like '%woman%' and q142 like '%job%' ) or ( q151 like '%business%' and q151 like '%woman%' and q151 like '%job%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[GYeFFtQbCWO3]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)