Stories from Globalgiving Storytelling Project

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6 stories matched (31-45 or 46-60 or Over 60) and Security and Male and village and woman

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

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: 4/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 96/100 (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: 71/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.

q2:John is an oarphan. She lived with his grandmother in Inyali village. His grandma is cruel woman. She always forced him to work morning to evening and she gave him little food. John decided to run away due to overwork, no food, and cruel grandma. He joined urully children in the society who roam aimlessly in the village stealing. Luckily John was saved from his cruel gradma whereby he met a christian who gave him food, clothes and place to stay. His state of confusion stopped. Now he is in Inyali Primary school, given books introduced to pupils. John is adisired loving and kind. His life is completely changed above all happy and has turn out as a christian.
Q3:Protect children from child abuse
Q4:Individual
Q6:Kenya
Q7:Sabatia County
Q8:Inyali
Q9:2-6 months ago
Q10:Male
Q12:Unknown
Q13:The right people
Q15:Yes
Q17:[HORIZON]Q10NOT ANSWERED<<2012-08-13-DAGORETI-S#032-p#135>>_n/a
Q18:Horrible
Q19:Food and shelter,Security,Knowledge
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:None
Q133:None
Q134:Individual

q2:In our village there is a woman who has been helping the community in health care to people without paying her this has helped the people to live in a health community because of the treatment got from this woman
Q3:medical care
Q4:individual
Q5:health, care, woman, live, treatment
Q6:uganda
Q7:kampala
Q8:mbuya
Q9:More than 2 years ago
Q10:Male
Q12:Heard about it happening
Q13:The right people
Q15:Yes
Q17:<<25-11-2011-CEPO-S#091-P#01>>_
Q18:Inspired
Q19:Food and shelter,Security,Family and Friends
Q23:12
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Physical well-being
Q40:It requires a continuous effort
Q122:31-45
Q132:0.41667000000000
Q133:32.58333000000000
Q134:Individual

q2: Mr. Bukenya in our village helps a woman who is not able to walk because she has one leg by taking her every were she wants at any time.This man does this always to permit this woman also go to other areas easily.
Q3:Free transport
Q4:Individual
Q6:Uganda
Q7:Kampala
Q8:Nsamba
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:Poverty <<25-11-2011-CEPO-S#290-P#01>>_
Q18:Inspired
Q19:Security,Family and Friends,Respect
Q23:6
Q37:Good idea that succeeded
Q38:Broad need
Q39:Mixed
Q40:Temporary change
Q122:31-45
Q132:0.31628000000000
Q133:32.58219000000000
Q134:Individual

q2: Once in Vitangala village there was a woman who suffered from an infected that caused her to have a wound that could not heal faster.This troubled her so much as she could not do anything but cry all day with pain and suffering.As days went by some organization called REEP Kenya come in and helped her.They took her to the hospital and treated her wound.
Q3:LIFE IN VITANGALA
Q4:REEP ORGANIZATION
Q5:heal, pain, suffering, days, treated
Q6:Kenya
Q7:Busia
Q8:VITANGALA
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:[Horizon]HIGHLIGHT<<23-12-11-BUSIA-S#393-P#01>>_
Q18:Frustrated
Q19:Security,Family and Friends,Respect
Q23:16
Q37:Good idea that succeeded
Q38:Specific solution
Q39:Physical well-being
Q40:Lasting change
Q122:31-45
Q132:-1.31666670000000
Q133:36.78333330000000
Q134:Reep Organization

q2:people were not able to walk even a single step without making noise because they were being eaten by the jiggers. Bun good luck a beautiful woman know as Carolina came and supplied medicine for jiggers and all the jiggers and all the jiggers were dead now the people in our village are healthy
Q3:sanitation
Q4:individual
Q6:KENYA
Q7:NAIROBI
Q8:KIBERA SILANGA
Q9:1-2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:Yes
Q17:<<2011-06-15-KIBERA-S#206-P#001-P#003>>_
Q18:Important
Q19:Security,Physical Needs,Fun
Q37:Good idea that succeeded
Q38:Mixed
Q39:Social relations
Q40:Mixed
Q122:31-45
Q132:-1.32614600000000
Q133:36.77880700000000
Q134:Individual

q2:It was a boring and upleasent night for Mr.Kariuki,A farmer in Kerugoya in central province.His wife was preparing supper for his husband after a hard day at work.And with a loud bang in a neighbouring homestead.The villagers thought it was a tank of oil/kerosene has fallen.They were off with their Jerricans when they started hearing screams of help,They did not thought of anything but one of them who went to Mr.Kariuki's home finding scattered properties out of the door.Mr.Kariuki saw her behing the homestead covered with cypress He came running to the woman and crying his wife was running going to her parent homestead.
Q3:A WIPING NIGHT
Q4:Kariuki
Q6:KENYA
Q7:NAIROBI
Q8:kirgoya central province
Q9:More than 2 years ago
Q10:Male
Q12:Saw it happen
Q13:The right people
Q15:No
Q17:<<2011-03-07-Kibera-Victor-Smart Club-S#044-P#01>>_
Q18:Important
Q19:Security,Self-esteem,Freedom
Q23:-1
Q37:Good idea that succeeded
Q38:Specific problem
Q39:Economic opportunity
Q40:Lasting change
Q122:31-45

Found 6 records.
mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Security%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%village%' and q2 like '%woman%' ) or ( q3 like '%village%' and q3 like '%woman%' ) or ( q4 like '%village%' and q4 like '%woman%' ) or ( q5 like '%village%' and q5 like '%woman%' ) or ( q6 like '%village%' and q6 like '%woman%' ) or ( q7 like '%village%' and q7 like '%woman%' ) or ( q8 like '%village%' and q8 like '%woman%' ) or ( q11 like '%village%' and q11 like '%woman%' ) or ( q17 like '%village%' and q17 like '%woman%' ) or ( q26 like '%village%' and q26 like '%woman%' ) or ( q27 like '%village%' and q27 like '%woman%' ) or ( q28 like '%village%' and q28 like '%woman%' ) or ( q29 like '%village%' and q29 like '%woman%' ) or ( q35 like '%village%' and q35 like '%woman%' ) or ( q41 like '%village%' and q41 like '%woman%' ) or ( q42 like '%village%' and q42 like '%woman%' ) or ( q43 like '%village%' and q43 like '%woman%' ) or ( q46 like '%village%' and q46 like '%woman%' ) or ( q47 like '%village%' and q47 like '%woman%' ) or ( q60 like '%village%' and q60 like '%woman%' ) or ( q65 like '%village%' and q65 like '%woman%' ) or ( q70 like '%village%' and q70 like '%woman%' ) or ( q71 like '%village%' and q71 like '%woman%' ) or ( q72 like '%village%' and q72 like '%woman%' ) or ( q73 like '%village%' and q73 like '%woman%' ) or ( q74 like '%village%' and q74 like '%woman%' ) or ( q75 like '%village%' and q75 like '%woman%' ) or ( q76 like '%village%' and q76 like '%woman%' ) or ( q77 like '%village%' and q77 like '%woman%' ) or ( q80 like '%village%' and q80 like '%woman%' ) or ( q81 like '%village%' and q81 like '%woman%' ) or ( q86 like '%village%' and q86 like '%woman%' ) or ( q87 like '%village%' and q87 like '%woman%' ) or ( q88 like '%village%' and q88 like '%woman%' ) or ( q89 like '%village%' and q89 like '%woman%' ) or ( q98 like '%village%' and q98 like '%woman%' ) or ( q99 like '%village%' and q99 like '%woman%' ) or ( q110 like '%village%' and q110 like '%woman%' ) or ( q111 like '%village%' and q111 like '%woman%' ) or ( q116 like '%village%' and q116 like '%woman%' ) or ( q117 like '%village%' and q117 like '%woman%' ) or ( q123 like '%village%' and q123 like '%woman%' ) or ( q125 like '%village%' and q125 like '%woman%' ) or ( q132 like '%village%' and q132 like '%woman%' ) or ( q133 like '%village%' and q133 like '%woman%' ) or ( q134 like '%village%' and q134 like '%woman%' ) or ( q135 like '%village%' and q135 like '%woman%' ) or ( q136 like '%village%' and q136 like '%woman%' ) or ( q138 like '%village%' and q138 like '%woman%' ) or ( q141 like '%village%' and q141 like '%woman%' ) or ( q142 like '%village%' and q142 like '%woman%' ) or ( q151 like '%village%' and q151 like '%woman%' )) LIMIT 4000;
filter_questions ['q10', 'q19', 'q122']
merge:ignore
A[Hpnrevb8uzzL]:SUCCESS: 1 rows inserted.
not enough values to unpack (expected 3, got 2)