Consensus–expectations gap

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages) This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Consensus–expectations gap" – news · newspapers · books · scholar · JSTOR (August 2023) (Learn how and when to remove this message) This article relies largely or entirely on a single source. Relevant discussion may be found on the talk page. Please help improve this article by introducing citations to additional sources. Find sources: "Consensus–expectations gap" – news · newspapers · books · scholar · JSTOR (August 2023) This article includes a list of general references, but it lacks sufficient corresponding inline citations. Please help to improve this article by introducing more precise citations. (August 2023) (Learn how and when to remove this message) (Learn how and when to remove this message)

A consensus–expectations gap is a gap between what a group of decision-makers are expected to agree on, and what they are actually able to agree on. The expression was first used by Asle Toje in the book The European Union as a small power: after the post-Cold War.^[1] The term owes to Christopher Hill's capability–expectations gap between what the European Communities had been talked up to do and what the collective was actually able to deliver. Hill saw the capability–expectations gap as having three primary components, namely, the ability to agree, resource availability and the instruments at its disposal. The 'consensus–expectations gap' focuses on one of Hill's variables: the ability to agree.

This probability-related article is a stub. You can help Wikipedia by expanding it.

• v
• t
• e