Stories from Globalgiving Storytelling Project

Search Again Compare Tutorial Learn more Story View

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

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

How good is this collection? (44/100)
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: 94/100 (100% when every storytellers answer every question)
Diverse points of view: 20/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 59/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:HELPED EIGHT YEARS OLD GIRL. In the last 8 months ago, there was accident accured along kitgum road at mid-day which involved a taxi and a school girl aged eight years. she was a pupil of Gulu Town primary school.When the accident happened, the car Reg:No.UAA0001T;a blue Toyota,failed to stop due to the brake failure.It knocked a girl and ran away very fast immediately. I ran toward a young girl and i took her tyo the nearest clinic for quick first aid . she was given aid and transfered tothe main hospital in ward by some volunteer.
Q3:over speeding
Q4:Individual
Q6:Uganda
Q7:Gulu district
Q8:nearest landmark
Q9:2-6 months ago
Q10:Male
Q12:Saw it happen
Q13:Nobody
Q15:Yes
Q17:<<2012-12-21-UGANDA-S#184-P#01>>_
Q18:Indifferent
Q19:Knowledge,Self-esteem,Fun
Q23:50
Q37:Bad idea that will never work
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:46-60
Q132:None
Q133:None
Q134:Individual

q2:problems that are facing in mathare from people who are suffering in theme or places.some people are suffering from disease beacause they dont have money to go to the hospital s. there at mathere people like bosy& girls are using some drugs abuse that they are offering their brain become madness walking here and then. iam requesting people at religious organisation politicians to the them with fechers who are educate them to say no for drug abuse in mathare.
Q3:problems facing mathare
Q4:politians
Q6:KENYA
Q7:NAIROBI
Q8:mathare slums
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:Mixed
Q15:Unknown
Q17:<<2011-07-23-VICTOR-SMART CLUB-S#181-P#01>>[hcc question number 17 and 16 was not answered] _
Q18:Important
Q19:Security,Creativity,Self-esteem
Q37:Unknown
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:-1.26171600000000
Q133:36.84924700000000
Q134:None

q2: It was at 10.30 pm. We were sleeping and at a short time we heard someone screaming we didn't know what was going on. When my father opened the gate he found that there is a girl who has been raped and she was crrying very hurtly. She was taken to the hospital and she was treated and now she is okay and she is learning.
Q3:RAPE
Q4:INDIVIDUAL
Q6:Kenya
Q7:Nairobi
Q8:Kibera
Q9:7-12 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<11-09-2011-KIBERA-S#071-P#01>>_
Q18:Inspired
Q19:Physical Needs,Knowledge,Self-esteem
Q23:8
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Mixed
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Individual

q2: SITA KIMYA is an organisation that has improves people's life till has taught people how to protect themselves against danger. One day their was a girl who was coming from school going back home. And was very late around seven o'clock she was passing through corners where it was full of darkness. It came to happen that this girl mate some men around the corner this men closed her mouth and tore all the the clothes that she weared. They raped her and she was left their dumb founded she could not even. She was very lucky that one member of SITA KIMYA took her to the hospital.
Q3:RAPE
Q4:SITA KIMYA
Q6:Kenya
Q7:Nairobi
Q8:Mashimoni
Q9:Less than 2 months ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:[HORIZON]Question 8 is not answered<<2011-09-14-KIBERA-S#098-P#01>> _
Q18:Unknown
Q19:Physical Needs,Knowledge,Self-esteem
Q23:50
Q37:Good idea that succeeded
Q38:Mixed
Q39:Physical well-being
Q40:Mixed
Q122:31-45
Q132:-1.31241250000000
Q133:36.79061840000000
Q134:Sita Kimya

q2:KIBERA UPRISING is another well known. This organization is for collecting rubbish and other things like dirty in aplot or on the road. People were using another technologia that is flying toilets. This is why this organization built toilets, hospitals and other things like road. But now this organization is well known by people ,girls now are happy because they have been helped.
Q3:girls in Kibera
Q4:Kibera uprising
Q6:Kenya
Q7:NAIROBI
Q8:Mashimoni
Q9:7-12 months ago
Q10:Male
Q12:Was affected by what happened
Q13:The right people
Q15:No
Q17:(HORIZON)<<2011-05-24-KIBERA-S#076-P#01>>_
Q18:Important
Q19:Knowledge,Self-esteem,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Mixed
Q39:Mixed
Q40:Lasting change
Q122:31-45
Q132:-1.31241250000000
Q133:36.79061840000000
Q134:Kibera Uprising

q2:It was on suturday morning i and my sister were going to school one girl was shot by thieves the man who was near their he help the girl and taken her to the hospital, when the man was going to her house he met with a young boy who was goinhg to the river to fetch water the boy was with her brother her brothe entered in the water and the man saw the boy crying the man gone in the river and move the boy ouside the water
Q3:MAN KILLED BY THIEF
Q4:NEIGHBOUR
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA KISUMU NDOGO
Q9:Unknown
Q10:Male
Q12:Unknown
Q13:The right people
Q15:No
Q17:[HORIZON]<<2011-05-31-OGIRA-KIBIRA-S#117-P#01-P#03>>hezekiah ogira @ yiahoo.com_
Q18:Important
Q19:Security,Self-esteem,Freedom
Q37:Bad idea
Q38:Specific solution
Q39:Economic opportunity
Q40:Mixed
Q122:31-45
Q132:-1.13333000000000
Q133:34.55000000000000
Q134:None

Found 6 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 '%hospital%' ) or ( q3 like '%girl%' and q3 like '%hospital%' ) or ( q4 like '%girl%' and q4 like '%hospital%' ) or ( q5 like '%girl%' and q5 like '%hospital%' ) or ( q6 like '%girl%' and q6 like '%hospital%' ) or ( q7 like '%girl%' and q7 like '%hospital%' ) or ( q8 like '%girl%' and q8 like '%hospital%' ) or ( q11 like '%girl%' and q11 like '%hospital%' ) or ( q17 like '%girl%' and q17 like '%hospital%' ) or ( q26 like '%girl%' and q26 like '%hospital%' ) or ( q27 like '%girl%' and q27 like '%hospital%' ) or ( q28 like '%girl%' and q28 like '%hospital%' ) or ( q29 like '%girl%' and q29 like '%hospital%' ) or ( q35 like '%girl%' and q35 like '%hospital%' ) or ( q41 like '%girl%' and q41 like '%hospital%' ) or ( q42 like '%girl%' and q42 like '%hospital%' ) or ( q43 like '%girl%' and q43 like '%hospital%' ) or ( q46 like '%girl%' and q46 like '%hospital%' ) or ( q47 like '%girl%' and q47 like '%hospital%' ) or ( q60 like '%girl%' and q60 like '%hospital%' ) or ( q65 like '%girl%' and q65 like '%hospital%' ) or ( q70 like '%girl%' and q70 like '%hospital%' ) or ( q71 like '%girl%' and q71 like '%hospital%' ) or ( q72 like '%girl%' and q72 like '%hospital%' ) or ( q73 like '%girl%' and q73 like '%hospital%' ) or ( q74 like '%girl%' and q74 like '%hospital%' ) or ( q75 like '%girl%' and q75 like '%hospital%' ) or ( q76 like '%girl%' and q76 like '%hospital%' ) or ( q77 like '%girl%' and q77 like '%hospital%' ) or ( q80 like '%girl%' and q80 like '%hospital%' ) or ( q81 like '%girl%' and q81 like '%hospital%' ) or ( q86 like '%girl%' and q86 like '%hospital%' ) or ( q87 like '%girl%' and q87 like '%hospital%' ) or ( q88 like '%girl%' and q88 like '%hospital%' ) or ( q89 like '%girl%' and q89 like '%hospital%' ) or ( q98 like '%girl%' and q98 like '%hospital%' ) or ( q99 like '%girl%' and q99 like '%hospital%' ) or ( q110 like '%girl%' and q110 like '%hospital%' ) or ( q111 like '%girl%' and q111 like '%hospital%' ) or ( q116 like '%girl%' and q116 like '%hospital%' ) or ( q117 like '%girl%' and q117 like '%hospital%' ) or ( q123 like '%girl%' and q123 like '%hospital%' ) or ( q125 like '%girl%' and q125 like '%hospital%' ) or ( q132 like '%girl%' and q132 like '%hospital%' ) or ( q133 like '%girl%' and q133 like '%hospital%' ) or ( q134 like '%girl%' and q134 like '%hospital%' ) or ( q135 like '%girl%' and q135 like '%hospital%' ) or ( q136 like '%girl%' and q136 like '%hospital%' ) or ( q138 like '%girl%' and q138 like '%hospital%' ) or ( q141 like '%girl%' and q141 like '%hospital%' ) or ( q142 like '%girl%' and q142 like '%hospital%' ) or ( q151 like '%girl%' and q151 like '%hospital%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[1D91n82HNkng]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)