Stories from Globalgiving Storytelling Project

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9 stories matched (16-21 or 22-30) and Male and business and woman and job

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How good is this collection? (60/100)
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: 5/100 (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: 90/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 54/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:I am Tumwine Willy, 28 years old. I passed through a hard situation after looking for a job for a long tine and i could not find onne, i finished University 6 years ago and in these six years i have been looking for a job. So, a certain woman from America heard my story and was touched she gave me capital to start my business she was faithful and gave me money, and by now i started an internet cafe and i am now earning money.
Q3:Economic Oppurtunity
Q4:Individual
Q6:UGANDA
Q7:Kampala
Q8:Kawuku
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2012-12-21-UGANDA-S#2506-P#01>>_
Q18:Happy
Q19:Family and Friends,Respect,Fun
Q23:50
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Economic opportunity
Q40:Lasting change
Q122:22-30
Q132:None
Q133:None
Q134:Individual

q2:Mama Kanini has been a business woman since 1999 to date in the streets of kibera and is always very confortable with his job.She says that she has raised her two sons Mike and James though the business which many despise partially here in Kenya.Her two sons are at the university of Nairobi,Mike taking Mass communication,and James Artuarial science and they are very successful thanks to their single Mum who has work this much for them.
Q3:GOD REMEMBERS HIS SERVANTS
Q4:MAMA KANINI
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]<<2011-08-30-KAWAGWARE KIBERA-S#150-P#01>>_abutoiwil@yahoo.com
Q18:Inspired
Q19:Family and Friends,Knowledge
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Mama Kanini

q2:-MAMA KAdogo is a woman who has been selling vegetables for quite along time.A Time came when she was being interviewed on how she has been running her business by a group of whites who were from Britain.She was making many people to become amazed because she was even healthy than anybody around and yet she had no white collar job .After along interview, she was taken and given full support by the group.
Q3:'FORTUNE DROPS'
Q4:BritisH organizers
Q6:KENYA
Q7:TURKANA
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The wrong people
Q15:Unknown
Q17:<<[HORIZON] QUESTION 17 AND 17 NOT ANSWERED2011-05-01-KIBERA-VICTOR SMART CLUB-SH014-PH>>_
Q18:Inspired
Q19:Security,Creativity,Self-esteem
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:16-21

q2:Due to the harsh economic times There comes a time where both the parents are up in arms looking for money to feed the family due to this being so and how the woman and men in the slums do odd jobs so as to earn a living.This leads to the shortage of resources to feed the families.And as the woman decided to improve the living standards by uplifting themself. They came up with chamas.One evident was in kienda where the woman came up together by colllecting funds and helping other members of their chama uplift themself economic wise by loaning them cash so as to start business so as to uplift the well being of their family.This inturn has raised the economic states of the families living their since now they dont lack food and their children are for school with no problem of being sent home for school fees.
Q3:Women affair
Q4:Chama cha wanawake
Q6:KENYA
Q7:NAIROBI
Q8:kianda
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2012-04-18-DAGORETI-S#012-p#01>>_
Q18:Important
Q19:Security,Knowledge,Creativity
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:22-30

q2:Due to the harsh economic times There comes a time where both the parents are up in arms looking for money to feed the family due to this being so and how the woman and men in the slums do odd jobs so as to earn a living.This leads to the shortage of resources to feed the families.And as the woman decided to improve the living standards by uplifting themself. They came up with chamas.One evident was in kienda where the woman came up together by colllecting funds and helping other members of their chama uplift themself economic wise by loaning them cash so as to start business so as to uplift the well being of their family.This inturn has raised the economic states of the families living their since now they dont lack food and their children are for school with no problem of being sent home for school fees.
Q3:Women affair
Q4:Chama cha wanawake
Q6:KENYA
Q7:NAIROBI
Q8:kianda
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2012-04-18-DAGORETI-S#012-p#01>>_
Q18:Important
Q19:Security,Knowledge,Creativity
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:22-30
Q132:-1.31201900000000
Q133:36.77454400000000
Q134:Unnamed Organization

q2:MAMA KAdogo is a woman who has been selling vegetables for quite a long time.A Time came when she was being interviewed on how she has been running her business by a group of whites who were from Britain.She was making many people to become amazed because she was even healthy than anybody around and yet she had no whitecollar job.After along interview,she was taken and given full support by the group.
Q3:'FORTUNE DROPS'
Q4:British organizers
Q5:interview, support, job, business, time
Q6:KENYA
Q7:TURKANA
Q8:KAPSOIT
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Unknown
Q17:[HORIZON]Question 14 was not completely answered<<2011-05-01-KIBERA-VICTOR SMART CLUB-S#014-P#01>> _
Q18:Inspired
Q19:Security,Knowledge,Creativity
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:16-21
Q132:3.00000000000000
Q133:35.50000000000000
Q134:British Organizers

q2:MAMA KADOGO is a woman who has been selling vegetables for quite a long time.A time came when she was being interviewed on how she has been running her business by a group of making many people to become amazed around and yet she had no white collar job.After along interview,she was taken and given full support by the group.
Q3:FORTUNE DROPS'
Q4:BRITISH ORGANIZERS.
Q5:interview, support, job, business, time
Q6:KENYA
Q7:TURKANA
Q8:KAPSOIT
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Unknown
Q17:[HORIZON]Question 17 was not answered<<2011-05-01-KIBERA-VICTOR SMART CLUB-S#014-P#01>>_
Q18:Inspired
Q19:Security,Knowledge,Creativity
Q37:Good idea that succeeded
Q38:Broad need
Q39:Social relations
Q40:Mixed
Q122:16-21
Q132:3.00000000000000
Q133:35.50000000000000
Q134:No Answer

q2:A certain woman has emerged amongst all women across the globe to do what formally was being done by men only.you might be surprised if you happen to see her along the road side busy doing her job. That woman has engaged herself in a busy business of mending shoes of all types. many customers mostly men are flocking in her workshop to have a look on how that woman can work on their shoes better. she is able to feed to feed herself from the work she does,get money to pa rent,school fees and some of her personal needs.she has been a good example to many who says that some work are only for men.
Q3:what men can do women can do it better
Q4:mary odhiambo
Q5:engaged, rent, work, needs, better
Q6:KENYA
Q7:NAIROBI
Q8:kibera makina
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-06-30-KAKAMEGA-WEWASOFAGROUP-S#154-P#01>> _
Q18:Inspired
Q19:Food and shelter,Security,Family and Friends
Q23:4
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-1.31842600000000
Q133:36.79649600000000
Q134:No Answer

q2:Mama kanini has been a business woman since 1919 to date in the streets of kibera and is always very comfortable with his job. she says that she has raised her two sons milk and JAMES through the business which many dispise particularly, here in kenya. her two sons are at the university of nairobi,milk taking mass communication and james arecturail science and they to their single mum who has work this much for them.
Q3:GOD REMEMBERS HIS SERVANTS
Q4:MAMA KANINI
Q5:comfortable, particularly, mama, two, work
Q6:Kenya
Q7:Nairobi
Q8:Kibera
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-08-30-KAWANGWARE KIBERA-S#100-P#01>>_
Q18:Inspired
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Mama Kanini

Found 9 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' 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', 'q122']
merge:ignore
A[uA8yShr2QzFo]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)