In the scientific context more broadly, Google Scholar uses citations to rank and link content, while PageRank determines how we find the world's information based on a similar principle.
Not exact matches
Keith Fargo, the Alzheimer's Association director of
scientific programs and outreach, told Business Insider
in 2017 that the Alzheimer's report, which would tell me whether I had a mutation on my APOE gene, was
more useful
in the
context of research than it was for predicting who might get the disease.
Questions such as whether the language of «faith» has any authority
in a
scientific age, or whether mind and life are reducible to atoms and molecules, whether only the tangible is real, whether the human person is anything
more than a complex physico - chemical mechanism, whether we are free or determined, whether there is any «objective» truth to the symbols and myths of religion — all of these questions are asked at all only because what is fundamentally at issue is whether there is an ultimate
context that gives meaning to cosmic process and significance to our lives
in this process.
Stan himself readily admits that he doesn't know the answer
in a
scientific context, and he agrees that
more study is needed.
More unusually for such a book, March also places successive
scientific revolutions
in the social
context in which they took place — such as the dismantling of Isaac Newton's deterministic clockwork universe
in the chaos of the Germany of the 1920s.
Importantly, there is little
scientific research to date favoring one method over the other, but read
more to learn about both theories
in context.
More than 60 per cent of Class 7 students can not make a
scientific prediction related to the outcomes of a
context involving the concept of camouflage
in animals
For example,
in a recent study of preservice teachers» conceptions of lunar phases, researchers reported pre - to postinstructional gains
in scientific conceptions of
more than 80 % for participants who used an astronomy simulation
in the
context of inquiry instruction (Bell & Trundle, 2008).
Such is the chief delight, and paradox, of the show: both strains of early American still - life — Audubon's
scientific realism and Peale's painterly illusionism — seem,
in the
context of western art history, less like «art» and
more like «history.»
While others are
more qualified to deconstruct here quantitative arguments
in pointing out apparently obvious errors when placed
in the
context of the quality of the argument itself,
in the
context of relevance pertaining to
scientific consensus, Judith Curry's argument loses substance as well as relevance.
I suppose
in the abstract this would be dull as doornails if not unhelpful, and so probably it's best to explain it with examples and
in the
context of climate modeling, but I wanted to describe it
in the abstract, just because I think what keeps a lot of people from appreciating climate science (or even why it's hard to appreciate) has to do with very basic ideas about not just «the
scientific process» but with the narrower or perhaps
more easily describable process of modeling.
An equally important step is to place the areas of ongoing
scientific dispute (hurricane strength, extinction impact, pace of sea - level rise) within the broader
context of what is not
in dispute (
more CO2 emissions will heat the world, changing climate patterns and raising seas for centuries to come).
I could imagine that
in the
context of
scientific research, modularity, re-use, etc is even
more important than
in general software development.
In the
context of a debate which inherently gave equal footing to
scientific consensus and denialism, Nye said, «The
more we mess around with this denial, the less we're going to get done.»
Clean code is always
more reusable but
in the current
context, of
scientific papers, all that matters is that the code does the current job correctly and is
in a decent (not perfect) state, because it has been «refactored mercilessly» throughout.
More accurately, we can avoid the use of the ambiguous word «uncertain» (which takes on many different meanings depending on
context, and most of them are not
scientific in origin) by restating your example
in the terms of «normal science».
To be useful
in a risk
context, climate change assessments therefore need a much
more thorough exploration of the tails of the distributions of physical variables such as sea level rise, temperature, and precipitation, where our
scientific knowledge base is less complete, and where sophisticated climate models are less helpful.
It seems to me that several of those sites post
more frequently and promptly on such developments than does RC, often with at least some substantive
scientific commentary (e.g. putting new studies
in the
context of previous work, etc).
I suspect that
in a decade's time, when Climategate is viewed
in a
more complete historical and
scientific context, the Guardian's reporting on this issue will be the real footnote.