5 stories matched Male and (31-45 or 46-60 or Over 60) and Fun and society and member
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (54/100) 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: 93/100 (100% when every storytellers answer every question)
Diverse points of view: 35/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 83/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a positive tone.
2 distinct clusters within this collection: 1 - City: nairobi - 4 stories 2 - (Uncategorized) - 3 stories
q2:Red Cross is changing lives of many in slums especially children and poor families.
Wealthy people believe helping less fortunate is to encourage them laziness.
But Red Cross thinks fingers on our hands are not equal and all members of society are not equal. So do all members of society to function well.
Youths in Nairobi branches with help of Red Cross practiced humanity by visiting street children rescue and rehabilitation centres to help them in their poor homes and centres Q3:Helping The less fortunate Q4:Red Cross Q6:Kenya Q7:Nairobi Q8:Nairobi-Kibera Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-10-12 -KIBERA/SIAYA-S#79-P#01>> _ Q18:Hopeful Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:Red Cross
q2:Living in harmony with other people without discrimination on basis of religion, age, gender, ethnic background or economic status is living in peace and unity. By accepting others the way they are. Jimwei lives in Kivagala in Vihiga. He can go round even for places begging for food and drink.
Community village has got used to him they have come to accept him as one of their own despite his poverty. whenever he goes people give him whatever he asked for even some clothing.
Being accepted i the community has made Jimwei as a beggar forget that he is less fortunate member of the society he has also come to realize he can do something for the society. He also has come to realize that he visits nearby church to pray for villagers to continue to show love and hospitality for them especially the beggars, the blind and less fortunate society. Q3:Acceptance Q4:Community Q6:Kenya Q7:vihiga Q8:sabatia Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-07-30-KAREN-S#001-P#01>>_ Q18:Inspired Q19:Family and Friends,Respect,Fun Q37:mixed Q38:Mixed Q39:Physical well-being Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:Community
q2: Nakumatt extends the support to other areas. They went to kisumu rural and urban areas where they went to give lights to poor community by improving street lighting and construction of a cyclist bay. They are making it easier for residents of kisumu to shop under root without trouble of making from one place to another searching for commodities. the city and street lighting thus providing security for pedestrians at night it created job opportunities to poor kisumu residents and also contributes cash and in kind to help the less fortunate a member of society through Tree appeal fund. they are targeting many disadvantage society member to enjoy during holiday especially christmas time. It offering best service and creating an enabling to achieve the objectives Q3:Creating Job opportunities into youth in rural community Q4:Nakumatt Q6:Kenya Q7:Kisumu Q8:Kisumu Rural Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[Horizon question 19 not answered]<<2012-07-03-DAGORETTI CORNER-S#105-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:Nakumatt
q2:Kakoba saving and credit society is firm in kakoba village that endavours to teach the residence how they can sake the little the earn to accumulate more money to forster development. The organisation also offers loans to its members. Q3:SAVING THE LITTLE EARNED Q4:KAKOBA SACCO Q6:Uganda Q7:Mbarara Q8:Kakoba Q9:More than 2 years ago Q10:Male Q12:Heard about it happening Q13:The right people Q15:Yes Q17:<<2012-05-03-UGANDA-S#1686-P#01>>_ Q18:Hopeful Q19:Knowledge,Self-esteem,Fun Q23:91 Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:It requires a continuous effort Q122:31-45 Q132:0.36060600000000 Q133:36.78195100000000 Q134:None
q2:Parents play a bigger role i molding their children in character and behavior.The school acts as a role model.Swahili saying,goes" mwana akibebwa hutazama kisogo cha mamaye".Many parents have relegated the role of bringing up their children to maids.This has brought a conflict of interest in the house.The kids tend to give more of their love to the maids.
A maid took up the responsibility of bringing up the kids of Mr X.Mrs x was never at home when she was needed,and the maid served the husband and took care of the kids.
One day the husband decided to make the maid the housewife.In time they had a baby boy,The wife became unruly and burnt the maid with hot water.Members of society rescued her,advised and counseled the family.the family is now staying in peace. Q3:A caring society Q4:Individual Q5:members society, character, served, interest, caring Q6:Kenya Q7:Nairobi Q8:kibera Q9:Unknown Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2011-06-29-MATHARE-S#334-P#01-P#003>>_ Q18:Important Q19:Food and shelter,Knowledge,Fun Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Mixed Q122:46-60 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Individual
 
Found 5 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Fun%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%society%' and q2 like '%member%' ) or ( q3 like '%society%' and q3 like '%member%' ) or ( q4 like '%society%' and q4 like '%member%' ) or ( q5 like '%society%' and q5 like '%member%' ) or ( q6 like '%society%' and q6 like '%member%' ) or ( q7 like '%society%' and q7 like '%member%' ) or ( q8 like '%society%' and q8 like '%member%' ) or ( q11 like '%society%' and q11 like '%member%' ) or ( q17 like '%society%' and q17 like '%member%' ) or ( q26 like '%society%' and q26 like '%member%' ) or ( q27 like '%society%' and q27 like '%member%' ) or ( q28 like '%society%' and q28 like '%member%' ) or ( q29 like '%society%' and q29 like '%member%' ) or ( q35 like '%society%' and q35 like '%member%' ) or ( q41 like '%society%' and q41 like '%member%' ) or ( q42 like '%society%' and q42 like '%member%' ) or ( q43 like '%society%' and q43 like '%member%' ) or ( q46 like '%society%' and q46 like '%member%' ) or ( q47 like '%society%' and q47 like '%member%' ) or ( q60 like '%society%' and q60 like '%member%' ) or ( q65 like '%society%' and q65 like '%member%' ) or ( q70 like '%society%' and q70 like '%member%' ) or ( q71 like '%society%' and q71 like '%member%' ) or ( q72 like '%society%' and q72 like '%member%' ) or ( q73 like '%society%' and q73 like '%member%' ) or ( q74 like '%society%' and q74 like '%member%' ) or ( q75 like '%society%' and q75 like '%member%' ) or ( q76 like '%society%' and q76 like '%member%' ) or ( q77 like '%society%' and q77 like '%member%' ) or ( q80 like '%society%' and q80 like '%member%' ) or ( q81 like '%society%' and q81 like '%member%' ) or ( q86 like '%society%' and q86 like '%member%' ) or ( q87 like '%society%' and q87 like '%member%' ) or ( q88 like '%society%' and q88 like '%member%' ) or ( q89 like '%society%' and q89 like '%member%' ) or ( q98 like '%society%' and q98 like '%member%' ) or ( q99 like '%society%' and q99 like '%member%' ) or ( q110 like '%society%' and q110 like '%member%' ) or ( q111 like '%society%' and q111 like '%member%' ) or ( q116 like '%society%' and q116 like '%member%' ) or ( q117 like '%society%' and q117 like '%member%' ) or ( q123 like '%society%' and q123 like '%member%' ) or ( q125 like '%society%' and q125 like '%member%' ) or ( q132 like '%society%' and q132 like '%member%' ) or ( q133 like '%society%' and q133 like '%member%' ) or ( q134 like '%society%' and q134 like '%member%' ) or ( q135 like '%society%' and q135 like '%member%' ) or ( q136 like '%society%' and q136 like '%member%' ) or ( q138 like '%society%' and q138 like '%member%' ) or ( q141 like '%society%' and q141 like '%member%' ) or ( q142 like '%society%' and q142 like '%member%' ) or ( q151 like '%society%' and q151 like '%member%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[vSvvFAf4tuTf]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)