259 Matching Annotations
  1. Sep 2018
  2. paulcairney.files.wordpress.com paulcairney.files.wordpress.com
    1. coproduction

      Interdisciplinary cooperation.

    2. promote networks between communities of scientists and policy makers

      Very interesting idea - what mechanisms would work best?

      Perhaps at the institutional level? For instance, establishing links between professional schools and events for networking - ie. public policy students meet engineers, researchers, and social scientists.

    3. scientists have a difficult choice to make between the need to specialize and maintain an image of academic objectivity

      Arguing that researchers need to advocate their research. I don't think that this would conflict with their objectivity. The science and methods can be objective, once knowledge is revealed then scientists should have a position in interpreting that knowledge and disseminating it into policy circles.

    4. ). Meaningful influence requires a long-term strategy to form alliances and develop knowledge of policy makers and policy making, not a one-off dissemination of state-of-the-art knowledge.

      Meaningful influence requires infiltrating policy communities.

    5. indicating what ways of thinking are in good “currency”

      'Currency' keeps coming up in a number of policy-related articles. Can anyone clarify this term/put it in context?

    6. core group of policy makers

      OR open up the process, make it transparent, help more people to understand the issues and the evidence.

    7. use intermediaries such as “knowledge brokers”

      This goes back to carina's suggestion - teach knowledge-holders how to communicate their evidence to policy makers, how to frame it, how to make it understandable.

    8. . They highlight differences in academic and political “cultures”

      Highlights the need for interdisciplinary collaboration. And, policymakers with knowledge in particular fields.

    9. The most frequently reported barriers relate to the lack of time, support, resources, and incentives for scientists to disseminate high-quality information effectively (Cairney 2016 ; Oliver et al. 2014).

      Systemic barrier - quality knowledge can't penetrate policy formation.

    10. This takes place in an unpredictable policy-making environment in which attention can lurch from issue to issue, policy is made routinely in networks, and the “rules of the game” take time to learn

      Policy doesn't exist in a vacuum. It's not an exact science.

      The 'rules of the game' - could this include power dynamics?

    1. This can only be done by directlyjuxtaposing the different takes of lay interests, experts andstakeholder interests relevant in each case-specific instance ofdecision-making.

      Provides a methodology for future examination of the policy process.

    2. an understanding of power ascontingent and vested in interaction amongst actors inspecific material contexts could offer a significant methodo-logical option for exposing the ways that actors attempt toengage knowledge to their advantage in the policy process(Law, 1998; Castree and MacMillan, 2001; Latour, 2005).

      When examining how policy is made, we should be asking: who has the power and what are they doing with it?

    3. validity of evidence would benefitfrom a more transparent treatment of the division into lay andexpert knowledge in evidence generation.

      Bring 'social' aspects into the science.

    4. Moreover, as environmental problemsthemselves are complex and fall within the realm of a numberof scientific and socio-economic disciplines, knowledge aboutthe environment characteristically involves a degree ofuncertainty.

      It's difficult for the public, or layperson, to understand the 'evidence.' This complicates the policy process.

    5. Our primary goal in this paperhas been to provide a conceptual synthesis of theories andempirical findings pertaining to the evidence–policy relation-ship and contribute towards a better understanding of whyaspirations for achieving better policy through more effectiveuse of evidence in the policy process are more difficult toachieve than might first appear.

      I want to say 'mission accomplished.'

    6. This emphasises the need to pay attention tothe context in which knowledge is commissioned or selectedforuse,aswellasproduced.

      No way, critical thinking pops up yet again as being important!

    7. waywardness

      unpredictable.

    8. .Radaelli (1999)draws attention to howuncertainty and lack of transparency in policy decision-making procedures provide opportunities for different actorssuch as representatives of research or administrative exper-tise to seize power over the ‘logic’, or mode, of policy decision-making

      Transparency! So important! Otherwise policy is the product of a technocratic, bureaucratic class!

    9. Consequently, problem framing (i.e. precisely definingthe problem at hand and how severe it is) has become acentral issue in attempts to find policy solutions toenvironmental problems and threats (Hajer and Wagenaar,2003; Gottweis, 2003; Murdoch, 2006).

      I'm studying a bit of public policy right now, and I'm really recognizing how the authors are incorporating policy theories into their arguments.

    10. Not surprisingly, several writers emphasise that thedistinction between lay and expert knowledge is a politicalone, and ultimately concerns the allocation of power in policydecision-making.

      No surprise that political power further complicates this equation.

    11. Instead of endorsing the polarisation of lay vs.expert in evidence generation, experts’ roles could includedeciphering and interpreting complex issues to a wider publicaudience, thus facilitating public involvement in decision-making (Fischer, 2002).

      What a co-operative approach!

    12. in orderto qualify as ‘usable knowledge’ for policy decision-making,scientific knowledge needs to be capable of commandingsufficient political support

      It's not just about the numbers, there are other considerations - such as the need for support!

      This is where Lasswell's model for policy-making falls short. Support is necessary to implement policy... David Easton's approach to policy accounts for these important inputs.

    13. One ofthe defining claims for scientific knowledge is its objectivity

      In the 1950s, Harold Lasswell pioneered a new method of policy research that he called the 'policy sciences.' He argued for an empirical, and objective approach to policy-making. He stressed the value of quantitative methods for obtaining data, and suggested that this data should be used objectively to form unbiased policy.

      His was an early theory and model in the field of public policy.

    14. While the institutionalised practices of policydecision-making seem to place much emphasis on scientifi-cally generated (expert) knowledge (e.g.Turnpenny et al.,2008), in order to qualify as ‘usable knowledge’ (Haas, 2004a:573) scientific information needs to be regarded as relevant,accessible and ‘neutral’ (in other words produced in condi-tions free of the influence of non-scientific interests).

      Scientifically generated knowledge is ranked highly.

      This knowledge should be generated and obtained without bias.

    15. The synthesis aspires to alertknowledge producers and policy practitioners to the chal-lenges posed by the above three dimensions of policy decision-making and to highlight some of the possible implications forhow research priorities are set and how policy decision-making is designed and managed.

      This is why it's important.

      Policy-making isn't rational, its complicated by "the nature of evidence; the normative, moral, and ethical ‘politics’ of policy-making; and the role of power. Knowledge producers don't have even ground to stand on because of how these factors influence the playing field.

    16. We claim that the way evidence is produced,selected for and interpreted in policy-making and implemen-tation is heavily influenced by decisions about social valuesand moral and ethical choices pertinent to environmentalpolicy

      Thesis.

      The implementation of environmental policy isn't evidence-based. Rather, it's the product of social, moral, and ethical choices.

    17. We use these todemonstrate that the evidence–policy relationship is not asclear cut as some advocates of more evidence based policymight like.

      Evidence-based policy is about making the 'rational' choice - weighing the costs and the benefits.

    18. Indeed, while individuals,organisations and public policy-makers are subjected toincreasing volumes of evidence on the state of the environ-ment and potential impacts of their decisions and activities,experience from OECD countries shows that decisions whichtruly aim to balance environmental considerations withsocial and economic ones still seem rather thin on theground

      A knowledge-policy deficit.

    1. Gullibility kills.

      Ignorance kills. It also feeds more ignorance. Yes - the need from critical thinking and more scientific methods of examination is necessary.

      We also need to fit these skills realistically into society.

    2. This rhetoric is only slightly more inflamed than what the tobacco industry has from time to time uttered for public consumption.

      Woah, reading this was like stepping into the world of a conspiracy theorist.

      The industry does what is can to protect itself - throwing out worlds like slander and libel, espousing claims of defence.

    3. You might think that before they denounce unwelcome research findings, major corporations would devote their considerable resources to checking out the safety of the products they propose to manufacture.

      You might think this... and you might be wrong! Anyone following the history of industry and capitalism? Environmental and safety concerns are a relatively new concept in the scheme of things.

    4. But applied judiciously, it can make all the difference in the world—not least in evaluating our own arguments before we present them to others.

      A good reminder that 'baloney' isn't just around us - it's something we have to be aware of in ourselves too. What are our own limitations? How are we ignorant?

    5. Knowing the existence of such logical and rhetorical fallacies rounds out our toolkit.

      This article could be called: "A Scientist's Guide to Recognizing and Deciphering Bullshit."

    6. observational selection

      Ah a favourite: highlight the good, hide the bad.

    7. But it can be much more dangerous than that, and when govern-ments and societies lose the capacity for critical thinking, the results can be catastrophic

      Yes. A society where 'truth' has no value - Orwell's 1984 anyone?

    8. (I have an opinion myself.)

      This is funny. Going to guess he thinks they're stones!

    9. inuring us to lies lays the groundwork for many other evils.

      I paused when I read this sentence and considered the 'many other evils' Sagan is alluding to.

      I think he's right, condition people to hear lies and they'll never believe the truth. Or, the truth will come to have a lesser value.

      Think of the post-truth and alternative-facts world we live in.

    10. inuring

      Conditioning.

    11. rainfall of deception

      I'm interested in the role of deceit in this whole equation.

    12. banal homilies.

      An unoriginal sermon.

    13. facts are more comforting than the fantasy.

      I agree, but as the old adage goes: 'ignorance is bliss.'

  3. inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
    1. Bullshit is unavoidable whenever circumstances requiresomeone to talk without knowing what he is talking about.

      Preach! Ignorance is the ally to bullshit.

    2. Someone who lies and someonewho tells the truth are playing on opposite sides, so to speak, inthe same game. Each responds to the facts as he understandsthem, although the response of the one is guided by the authorityof the truth, while the response of the other defies that authorityand refuses to meet its demands. The bullshitter ignores thesedemands altogether.

      It's a game in which truth-tellers and liars are diametrically opposed; and in which the bullshitter is cheating. Or, at the very least, isn't following the same rules to.

      The bullshitter doesn't care about the rules, because the rules are related to the truth and the truth doesn't matter - winning matters.

    3. It is impossible for someone to lie unless he thinks he knowsthe truth. Producing bullshit requires no such conviction.

      The truth doesn't matter to a bullshitter, but it does to the liar.

    4. our attitude toward bullshit isgenerally more benign than our attitude toward lyin

      I hadn't really thought our attitude to BS and our attitudes to lying were different. But, I suppose that they are.

    5. Unlike plainlying, however, it is more especially a matter not of falsity but offakery.

      There is an art to bullshitting - its about faking it.

    6. bullshitting involves a kind of bluff

      I think we are getting closer to a definition here...

    7. This is a call for the facts.

      Uh oh, 'facts' entering the picture.

    8. Her fault is not that she fails to get things right, but thatshe is not even trying.

      NEW INTERPRETATION OF THE WHOLE "FEEL LIKE A RUN OVER DOG" STATEMENT: Maybe Wittgenstein was disgusted by the imagery. I would also be disgusted thinking about how a dog feels to be run over. It's a very emotive statement. Maybe this has nothing to do with him being disgusted by the lie/misrepresentation/careless whisper.

    9. germane

      Relevant to a subject under consideration.

    10. If Pascal’s simile is offensive, thenwhat figurative or allusive uses of language would not be?

      Is Wittgenstein calling bullshit on Pascal's feelings? Again, subjectivity is factoring into this growingly more ambiguous definition.

    11. pretentious

      Relates back to the idea that being humbug is more polite than espousing bullshit.

    12. Deceptive misrepresentation

      Does intent play into this definition? What is the intent of the lie?

    13. Humbug: deceptive misrepresentation, short oflying

      For instance, a lie of omission? Distinguishable from the more blatant 'bullshit. '

    14. I am uncertain just how close inmeaning the word humbug is to the word bullshit.

      I tend to think of 'humbug' as being related to confusion, whereas 'bullshit' is related to falsehood.

      Any other understandings out there?

    15. Myaim is simply to give a rough account of what bullshit is and howit differs from what it is not, or (putting it somewhat differently)to articulate, more or less sketchily, the structure of its concept.

      The article's thesis. Let's define and develop a theory for understanding 'bullshit.'

    16. we have no theory

      Oh! Bullshit isn't just a definition - it's a theory.

    17. Inconsequence, we have no clear understanding of what bullshit is,why there is so much of it, or what functions it serves.

      I can't wait for him to given me a clear definition - I never thought I'd be defining 'bullshit' in academia but this is the world we live in.