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Culture is collectively shared amongst group members and relates to patterns of behavior that are deeply embedded in the fabric of the organization.
It is a model, which utilizes global communication between localized artist hubs and clusters to form an international grouping with the intent of opening a dialogue about this subject across borders and cultures; to delve into the stuff and mind-murk that is collectively shared or completely random.
When texts produced by a number of individuals are studied, the goal is to understand the view that is collectively shared by that social group at a given time.
Only those normative beliefs that people perceive to be collectively shared and put into practice seem to matter to behavior.
One billion miles have been collectively shared by the community for more than 8 million passengers transported.
In experimental work on norm-compliance (Bicchieri and Xiao 2009, Bicchieri and Chavez 2010), it appears that individuals' actions tend to be at odds with what are understood as shared norms only when (a) other people are not expected to follow the norm, and/or (b) the normative beliefs are not perceived to be collectively shared in the present situation.
If norms were to directly affect behavior, as Parsons would have it, we should observe a high correlation between all types of normative beliefs and behavior, independently of whether other group members are expected to conform or whether the norm is perceived to be collectively shared.
Since the costs are collectively borne, the responsibility should be collectively shared.
The experience is one that needs to be collectively shared so that future generations will one day feel empowered and thus embrace their culture.
These tradeoffs, and especially how risk and responsibility are collectively shared by both human and technological components of sociotechnical systems, have been nicely illustrated by Mindell (2008), in the context of NASA's Apollo space programme: Throughout the socio-technical system that was Apollo, skill, experience and risk migrated across human and machine boundaries.
To put this in perspective, users were collectively sharing more than $1.5 million worth of purchases every week in May (or $214,000 per day).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com