What happens to facts after their construction?: characteristics and functional roles of facts in the dissemination of knowledge across modelling communities
AbstractThe core question addressed in this paper is: What happens to facts after their construction? The main contribution is to analyse the different practices of disseminating, circulating and crossfertilizing model-produced facts about Haemophilus influenzae type b and Streptococcus pneumoniae bacterial infections and the preventive public health measures against the invasive disease forms. Through the analysis, the paper shows how facts become characterised in different utilizing communities. It elaborates an account of the functional roles of facts that are capable of shaping the knowledge practices in the receiving communities. These analyses suggest how facts can travel beyond their production sites to be used as evidence in other domains.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by London School of Economics and Political Science, Department of Economic History in its series Economic History Working Papers with number 22504.
Length: 45 pages
Date of creation: Jul 2008
Date of revision:
Contact details of provider:
Postal: LSE, Dept. of Economic History Houghton Street London, WC2A 2AE, U.K.
Phone: +44 (0) 20 7955 7084
Web page: http://www.lse.ac.uk/economicHistory/
More information through EDIRC
Find related papers by JEL classification:
- N0 - Economic History - - General
- Z10 - Other Special Topics - - Cultural Economics - - - General
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cauchemez, Simon & Temime, Laura & Guillemot, Didier & Varon, Emmanuelle & Valleron, Alain-Jacques & Thomas, Guy & Boelle, Pierre-Yves, 2006. "Investigating Heterogeneity in Pneumococcal Transmission: A Bayesian MCMC Approach Applied to a Follow-up of Schools," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 946-958, September.
- Francesco Bartolucci, 2006. "Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(2), pages 155-178.
- Mervi Eerola & Dario Gasbarra & P. Helena Mäkelä & Henri Linden & Andrei Andreev, 2003. "Joint Modelling of Recurrent Infections and Antibody Response by Bayesian Data Augmentation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(4), pages 677-698.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lucy Ayre on behalf of EH Dept.).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.