What happens to facts after their construction?: characteristics and functional roles of facts in the dissemination of knowledge across modelling communities
The 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.
|Date of creation:||Jul 2008|
|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
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.
When requesting a correction, please mention this item's handle: RePEc:ehl:wpaper:22504. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (LSERO Manager on behalf of EH Dept.)
If references are entirely missing, you can add them using this form.