IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v73y2011i6p866-872.html
   My bibliography  Save this article

"Morphology is a witness which doesn't lie": Diagnosis by similarity relation and analogical inference in clinical forensic medicine

Author

Listed:
  • Rees, Gethin

Abstract

In this paper, I utilise semi-structured interviews with Forensic Medical Examiners (FMEs) in Scotland in order to investigate their diagnostic work. Drawing upon classic medical sociological work on diagnosis (for instance, the work of Paul Atkinson and Michael Bloor), my understanding of diagnosis is as a subjective, but socially-constructed activity whereby medical practitioners are taught to identify (in this case) injury types, initially by ostension, then also by examination. I then extend the analysis postulated within the classic studies by outlining a mechanistic method for the actual cognitive process of diagnosis, drawn from a sociologically informed reading of the historian of science, Thomas Kuhn. It is argued that diagnosis is achieved by similarity relation (comparing new cases to those previously observed), and analogical reasoning (drawing inferences based on the analogy with previous cases). Given that new cases subtly alter the individual FME's classificatory schema, resulting in potential differences in diagnoses, the FME community are required to conduct much reparative work in order to construct their evidence as consensual and factual, as is required by law. The paper will conclude with some brief comments on the future of forensic medical examinations, particularly concerning the fact/opinion distinction.

Suggested Citation

  • Rees, Gethin, 2011. ""Morphology is a witness which doesn't lie": Diagnosis by similarity relation and analogical inference in clinical forensic medicine," Social Science & Medicine, Elsevier, vol. 73(6), pages 866-872, September.
  • Handle: RePEc:eee:socmed:v:73:y:2011:i:6:p:866-872
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953611001195
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:73:y:2011:i:6:p:866-872. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.