Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

4 stories matched Female and (16-21 or 22-30) and Food and shelter and family and violence and life

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

How good is this collection? (42/100)
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: 95/100 (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: 69/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:The year 2007 (end) 2008 saw many houses being burnt down ito ashes,It saw brothers killing each other,it saw people excommunicating each other,Other being raped and as if this was not enough our innocent kids were left abandoned in the slum of mathare kibera karocho among others while those lucky enough found themselves in a wet camps.All this happened during post election violence that happened and the reason for all this was because their was the quench of monster called TRIBALISM killing people. Eve ryone of as was a victim of this own Rescue centre that befall our country.Its reason that community transformer thought of starting their own rescue centre.They rescued lots of kids that had been left homeless,kids that at some point in life were left with few strands of hope left. They have since t hen adopted more than 20 kids.legally some living positively while others orphane They have with them aunties who take good care of them just to ensure that they attend to there normal chores,plus their uncle who help ensure their characters are modeled in the most responsble way possible. It has been so hard for this family,for this great mind with great heart behind the whole idea.from sheltter where they used to live in three single roomed houses.Girls room that accomodated like 20 girl,a a boy room that too served as a kitychen and a t.v room that served as a place where the kinds would at times do their home work from sit and relax accordingly as well as told their prayer and veeting from everythi here limited from food ,shelter clothing but wit Gods grace and with their lives wanted to see them dream WIDE AWAKE and living a purpose driven life helped put up a home for the little ones.For as far as i know this was the best thing that happened to the kids. They have grown ,They have overcome alot just at a tender age.But for thyem they are thankful for what they have who they
Q3:THE FRAGMENT THAT REMAINED
Q4:COMMUNITY TRANSFORMERS
Q6:KENYA
Q7:NAIROBI /STAREHE
Q8:MATHARE NO 10
Q9:Unknown
Q10:Female
Q12:Was affected by what happened
Q13:Mixed
Q15:Yes
Q17:<<2011-08-25-MATHARE-S#100-S#01>>_
Q18:Inspired
Q19:Food and shelter,Security,Knowledge
Q37:mixed
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:16-21

q2:The year 2007 (end) 2008 saw many houses being burnt down ito ashes,It saw brothers killing each other,it saw people excommunicating each other,Other being raped and as if this was not enough our innocent kids were left abandoned in the slum of mathare kibera karocho among others while those lucky enough found themselves in a wet camps.All this happened during post election violence that happened and the reason for all this was because their was the quench of monster called TRIBALISM killing people. Eve ryone of as was a victim of this own Rescue centre that befall our country.Its reason that community transformer thought of starting their own rescue centre.They rescued lots of kids that had been left homeless,kids that at some point in life were left with few strands of hope left. They have since t hen adopted more than 20 kids.legally some living positively while others orphane They have with them aunties who take good care of them just to ensure that they attend to there normal chores,plus their uncle who help ensure their characters are modeled in the most responsble way possible. It has been so hard for this family,for this great mind with great heart behind the whole idea.from sheltter where they used to live in three single roomed houses.Girls room that accomodated like 20 girl,a a boy room that too served as a kitychen and a t.v room that served as a place where the kinds would at times do their home work from sit and relax accordingly as well as told their prayer and veeting from everythi here limited from food ,shelter clothing but wit Gods grace and with their lives wanted to see them dream WIDE AWAKE and living a purpose driven life helped put up a home for the little ones.For as far as i know this was the best thing that happened to the kids. They have grown ,They have overcome alot just at a tender age.But for thyem they are thankful for what they have who they
Q3:THE FRAGMENT THAT REMAINED
Q4:COMMUNITY TRANSFORMERS
Q5:family, lives, houses, live, kids
Q6:KENYA
Q7:NAIROBI /STAREHE
Q8:MATHARE NO 10
Q9:Unknown
Q10:Female
Q12:Was affected by what happened
Q13:Mixed
Q15:Yes
Q17:<<2011-08-25-MATHARE-S#100-S#01>>_
Q18:Inspired
Q19:Food and shelter,Security,Knowledge
Q37:mixed
Q38:Specific problem
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-1.26171600000000
Q133:36.84924700000000
Q134:Community

q2:during the tough economic in the slums whee the living standards have sky rocketed throw making life untestable of the poor in the society. this has footed violence and tension to the family measure since.no gain have for the one to put food on the table. this has led to all sorts of violence in the family of castigating violence which has led to women and chits going the main victims in the family at large. due to this awareness on domestic violence in the slum. this this has led to the domestic reduction on the level of violence in the slums perming domestic violence.
Q3:domestic violence
Q4:alpha
Q5:measure, domestic, violence, level, economic
Q6:KENYA
Q7:NAIROBI
Q8:kibera
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:Mixed
Q15:No
Q17:<<11-11-2011-MAKANDARA-YOUTH GROUP-S#048-P#01>>_
Q18:Important
Q19:Food and shelter,Physical Needs,Knowledge
Q37:Unknown
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:16-21

q2:during the tough economic in the slums whee the living standards have sky rocketed throw making life untestable of the poor in the society. this has footed violence and tension to the family measure since.no gain have for the one to put food on the table. this has led to all sorts of violence in the family of castigating violence which has led to women and chits going the main victims in the family at large. due to this awareness on domestic violence in the slum. this this has led to the domestic reduction on the level of violence in the slums perming domestic violence.
Q3:domestic violence
Q4:alpha
Q5:measure, domestic, violence, level, economic
Q6:KENYA
Q7:NAIROBI
Q8:kibera
Q9:More than 2 years ago
Q10:Female
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:_
Q18:Important
Q19:Food and shelter,Physical Needs,Knowledge
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:16-21
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:None

Found 4 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Food and shelter%' and q122 in ('16-21','22-30') and (( q2 like '%family%' and q2 like '%violence%' and q2 like '%life%' ) or ( q3 like '%family%' and q3 like '%violence%' and q3 like '%life%' ) or ( q4 like '%family%' and q4 like '%violence%' and q4 like '%life%' ) or ( q5 like '%family%' and q5 like '%violence%' and q5 like '%life%' ) or ( q6 like '%family%' and q6 like '%violence%' and q6 like '%life%' ) or ( q7 like '%family%' and q7 like '%violence%' and q7 like '%life%' ) or ( q8 like '%family%' and q8 like '%violence%' and q8 like '%life%' ) or ( q11 like '%family%' and q11 like '%violence%' and q11 like '%life%' ) or ( q17 like '%family%' and q17 like '%violence%' and q17 like '%life%' ) or ( q26 like '%family%' and q26 like '%violence%' and q26 like '%life%' ) or ( q27 like '%family%' and q27 like '%violence%' and q27 like '%life%' ) or ( q28 like '%family%' and q28 like '%violence%' and q28 like '%life%' ) or ( q29 like '%family%' and q29 like '%violence%' and q29 like '%life%' ) or ( q35 like '%family%' and q35 like '%violence%' and q35 like '%life%' ) or ( q41 like '%family%' and q41 like '%violence%' and q41 like '%life%' ) or ( q42 like '%family%' and q42 like '%violence%' and q42 like '%life%' ) or ( q43 like '%family%' and q43 like '%violence%' and q43 like '%life%' ) or ( q46 like '%family%' and q46 like '%violence%' and q46 like '%life%' ) or ( q47 like '%family%' and q47 like '%violence%' and q47 like '%life%' ) or ( q60 like '%family%' and q60 like '%violence%' and q60 like '%life%' ) or ( q65 like '%family%' and q65 like '%violence%' and q65 like '%life%' ) or ( q70 like '%family%' and q70 like '%violence%' and q70 like '%life%' ) or ( q71 like '%family%' and q71 like '%violence%' and q71 like '%life%' ) or ( q72 like '%family%' and q72 like '%violence%' and q72 like '%life%' ) or ( q73 like '%family%' and q73 like '%violence%' and q73 like '%life%' ) or ( q74 like '%family%' and q74 like '%violence%' and q74 like '%life%' ) or ( q75 like '%family%' and q75 like '%violence%' and q75 like '%life%' ) or ( q76 like '%family%' and q76 like '%violence%' and q76 like '%life%' ) or ( q77 like '%family%' and q77 like '%violence%' and q77 like '%life%' ) or ( q80 like '%family%' and q80 like '%violence%' and q80 like '%life%' ) or ( q81 like '%family%' and q81 like '%violence%' and q81 like '%life%' ) or ( q86 like '%family%' and q86 like '%violence%' and q86 like '%life%' ) or ( q87 like '%family%' and q87 like '%violence%' and q87 like '%life%' ) or ( q88 like '%family%' and q88 like '%violence%' and q88 like '%life%' ) or ( q89 like '%family%' and q89 like '%violence%' and q89 like '%life%' ) or ( q98 like '%family%' and q98 like '%violence%' and q98 like '%life%' ) or ( q99 like '%family%' and q99 like '%violence%' and q99 like '%life%' ) or ( q110 like '%family%' and q110 like '%violence%' and q110 like '%life%' ) or ( q111 like '%family%' and q111 like '%violence%' and q111 like '%life%' ) or ( q116 like '%family%' and q116 like '%violence%' and q116 like '%life%' ) or ( q117 like '%family%' and q117 like '%violence%' and q117 like '%life%' ) or ( q123 like '%family%' and q123 like '%violence%' and q123 like '%life%' ) or ( q125 like '%family%' and q125 like '%violence%' and q125 like '%life%' ) or ( q132 like '%family%' and q132 like '%violence%' and q132 like '%life%' ) or ( q133 like '%family%' and q133 like '%violence%' and q133 like '%life%' ) or ( q134 like '%family%' and q134 like '%violence%' and q134 like '%life%' ) or ( q135 like '%family%' and q135 like '%violence%' and q135 like '%life%' ) or ( q136 like '%family%' and q136 like '%violence%' and q136 like '%life%' ) or ( q138 like '%family%' and q138 like '%violence%' and q138 like '%life%' ) or ( q141 like '%family%' and q141 like '%violence%' and q141 like '%life%' ) or ( q142 like '%family%' and q142 like '%violence%' and q142 like '%life%' ) or ( q151 like '%family%' and q151 like '%violence%' and q151 like '%life%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[kYO3vryaHK0I]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)