5 stories matched Female and (31-45 or 46-60 or Over 60) and Fun and environment and tree
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (46/100) 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: 3/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 91/100 (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: 91/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.
There is not enough diversity to do cluster analysis for this collection.
One of these is the same (or missing) from the group:
Organization name
City
Neighborhood
Storyteller id: name or phone number
Scribe/story collector id: name or phone number
q2:National environment management authority (NEMA), helped to avoid people miss using environment by chasing them away from swamps.
And then also mobilising them to plant more trees. Q3:Encourages people to avoid mis using environment Q4:NEMA Q6:Uganda Q7:Masaka Q8:Nyendo Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-10-16 UGANDA S#262-P#01>>_ Q18:Happy Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Lasting change Q122:31-45 Q132:None Q133:None Q134:Nema
q2:kamau wants to protect the environment. He started by
showing people how to plant grass in there homes. Then
he started a tree nursery where he has planted seeds of
different trees. Which he is going to distribute to the
people around so that they can plant trees all around. Q3:TREE PLANTING Q4:INDIVIDUAL Q6:KENYA Q7:MURANGA Q8:MARUGUA Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-08-13-DAGORETI-S#380-p#01>>_ Q18:Inspired Q19:Physical Needs,Self-esteem,Fun Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:Individual
q2:Residents of Chebululu village - Kericho county have formed a group which will take care of environment by planting trees around and inside chebululu forest which is water catchment area. The paln to reatin water in the area by supplying free seedlings to the community to plant all over the area. the is a good idea that will save the rivers from drying. The government has joined the community by supporting it with seedling. The plan to go to other areas and teach people the impotance of saving the forest to preserve the water catchment areas. We than Chebululu village for starting this inportant project. Q3:SAVING THE ENVIRONMENT Q4:
CHEBULULU VILLAGE GROUP Q6:Kenya Q7:KERICHO Q8:CHEBULULU Q9:Less than 2 months ago Q10:Female Q12:Heard about it happening Q13:The right people Q15:Yes Q17:<<2012-13-07-DAGORETTI-S#003-P#01>>_ Q18:Hopeful Q19:Physical Needs,Self-esteem,Fun Q23:50 Q37:Good idea that succeeded Q38:Mixed Q39:Economic opportunity Q40:Mixed Q122:46-60 Q132:None Q133:None Q134:V.I
q2:Homabay county was a dry area with no trees.Rain was also scarce although neighboring counties like Kisii,Nyamira had plenty of rain.People developed environment support program which was to oversee the planting of trees in the area.They divided themselves into small groups for the program to succeed .They approached community development trust fund for financial support.The area now is very green and they will soon experience a lot of rain in the area.Community development rust fund pledged to support the program and extend to neighboring countries in order to save the environment Q3:Saving the environment Q4:Environmental support program Q6:Kenya Q7:Homa bay county Q8:Homabay market Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-07-30-KAREN-S#230-P#01>>_ Q18:Inspired Q19:Food and shelter,Knowledge,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Economic opportunity Q40:Mixed Q122:46-60 Q132:None Q133:None Q134:V.I
q2:Mr Njoroge a villager in muranga county had a big farm but had no knowledge of modern methods of farming.Soil erosion,rearing of animals and preservation of trees as a result of the land eroded,the stream was polluted ,animals infected with ticks they were also under nourished.
Kamau his son a class 8 drop out could not continue to secondary due to lack of school fees.He decided to work hard on his fathers land with the knowledge he acquired in school about caring for environment and agriculture in general he cleared the stream and planted trees around the farm,built shelters and milking sheds,sprayed the animals regularly .
The farm now produces healthy crops and animal products because he uses fertilizers and manure.Farmers in the community now come to Kamau to learn how to take care of their farms.The family now earns good income from farm produce and dairy products.They now have a better place to live in and have enough food as well as self employment.The community has gained a lot from Kamau Q3:Creating self determination awareness within the community Q4:Mr kamau Q6:Kenya Q7:Murang'a Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-07-30-KAREN-S#229-P#01>>_ Q18:Inspired Q19:Food and shelter,Knowledge,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:46-60 Q132:None Q133:None Q134:AFRICAN UNION AU
 
Found 5 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%environment%' and q2 like '%tree%' ) or ( q3 like '%environment%' and q3 like '%tree%' ) or ( q4 like '%environment%' and q4 like '%tree%' ) or ( q5 like '%environment%' and q5 like '%tree%' ) or ( q6 like '%environment%' and q6 like '%tree%' ) or ( q7 like '%environment%' and q7 like '%tree%' ) or ( q8 like '%environment%' and q8 like '%tree%' ) or ( q11 like '%environment%' and q11 like '%tree%' ) or ( q17 like '%environment%' and q17 like '%tree%' ) or ( q26 like '%environment%' and q26 like '%tree%' ) or ( q27 like '%environment%' and q27 like '%tree%' ) or ( q28 like '%environment%' and q28 like '%tree%' ) or ( q29 like '%environment%' and q29 like '%tree%' ) or ( q35 like '%environment%' and q35 like '%tree%' ) or ( q41 like '%environment%' and q41 like '%tree%' ) or ( q42 like '%environment%' and q42 like '%tree%' ) or ( q43 like '%environment%' and q43 like '%tree%' ) or ( q46 like '%environment%' and q46 like '%tree%' ) or ( q47 like '%environment%' and q47 like '%tree%' ) or ( q60 like '%environment%' and q60 like '%tree%' ) or ( q65 like '%environment%' and q65 like '%tree%' ) or ( q70 like '%environment%' and q70 like '%tree%' ) or ( q71 like '%environment%' and q71 like '%tree%' ) or ( q72 like '%environment%' and q72 like '%tree%' ) or ( q73 like '%environment%' and q73 like '%tree%' ) or ( q74 like '%environment%' and q74 like '%tree%' ) or ( q75 like '%environment%' and q75 like '%tree%' ) or ( q76 like '%environment%' and q76 like '%tree%' ) or ( q77 like '%environment%' and q77 like '%tree%' ) or ( q80 like '%environment%' and q80 like '%tree%' ) or ( q81 like '%environment%' and q81 like '%tree%' ) or ( q86 like '%environment%' and q86 like '%tree%' ) or ( q87 like '%environment%' and q87 like '%tree%' ) or ( q88 like '%environment%' and q88 like '%tree%' ) or ( q89 like '%environment%' and q89 like '%tree%' ) or ( q98 like '%environment%' and q98 like '%tree%' ) or ( q99 like '%environment%' and q99 like '%tree%' ) or ( q110 like '%environment%' and q110 like '%tree%' ) or ( q111 like '%environment%' and q111 like '%tree%' ) or ( q116 like '%environment%' and q116 like '%tree%' ) or ( q117 like '%environment%' and q117 like '%tree%' ) or ( q123 like '%environment%' and q123 like '%tree%' ) or ( q125 like '%environment%' and q125 like '%tree%' ) or ( q132 like '%environment%' and q132 like '%tree%' ) or ( q133 like '%environment%' and q133 like '%tree%' ) or ( q134 like '%environment%' and q134 like '%tree%' ) or ( q135 like '%environment%' and q135 like '%tree%' ) or ( q136 like '%environment%' and q136 like '%tree%' ) or ( q138 like '%environment%' and q138 like '%tree%' ) or ( q141 like '%environment%' and q141 like '%tree%' ) or ( q142 like '%environment%' and q142 like '%tree%' ) or ( q151 like '%environment%' and q151 like '%tree%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[dORoQnKaGPY0]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)