What is it about?
If we recast our data analysis strategies to nurture the multiple roles (looking in/out from skin, family, and culture) that folks play in their communities, this might increase a trend toward balanced narratives on-line, and at the same time help us harness the power of task-layer diversity i.e. the fact that we all have different strengths. For example, what kind of model for task-layer multiplicity/diversity in the community pictured above might we come up with? In the 19th century, center-of-mass (community-wide) multiplicity might have been about 5.6 out of the 6 maximum, with geometric (average-individual) multiplicity closer to 3.2 compared to about 4¼ for the uniformly-distributed case. The specialization index would then be about 5.6/3.2 ≈ 1¾, which is less than the specialization index of 2 expected for a purely yin-yang community (with e.g. male-female role specialization) but more than the index of 1.4 expected when all types of assignment are equally probable.
Photo by Daniel Frank on Unsplash
Why is it important?
Global electronic communications are excellent at propagating unbalanced narratives, pushing us from one extreme to another. Even scientific analyses generally treat only one layer of organization at a time. By following up on a simple strategy to examine the effects of disasters and policy changes on all layers of activity important to individual humans at once, we might be able to shift the conversation toward balanced narratives that heal rather than divide.
Read the Original
This page is a summary of: Task-Layer Multiplicity as a Measure of Community Level Health, Complexity, July 2019, Hindawi Publishing Corporation,
You can read the full text:
Task Layer Multiplicity & Community Well Being
An interactive resource for collaborative development of robust multi-layer tools designed to help monitor community-level health.
Attention-slice status updater
This is an experimental "two-click" survey (choose and hit done) of the sort that might come in handy for acquiring data downstream.
The following have contributed to this page