PhilSci Archive

Finding Normality in Abnormality: On the Ascription of Normal Function to Cancer

Goldwasser, Seth (2022) Finding Normality in Abnormality: On the Ascription of Normal Function to Cancer. In: UNSPECIFIED.

[img]
Preview
Text
Finding_Normality_in_Abnormality_PSA.pdf - Accepted Version

Download (269kB) | Preview
[img]
Preview
Slideshow
PSA Presentation.pdf - Presentation

Download (1MB) | Preview

Abstract

Cancer biology features ascriptions of normal function to cancer. Normal functions are activities that parts of systems, in some minimal sense, should perform. Cancer biologists’ ascriptions pose difficulties for two main approaches to normal function, leaving a gap in the literature. One approach claims that normal functions are activities that parts are selected for. However, some parts of cancers have normal functions but aren’t selected to perform them. The other approach claims that normal functions are part-activities that are typical for the system and contribute to survival/reproduction. However, cancers are too heterogeneous to establish what’s typical across a type.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Goldwasser, SethSEG111@pitt.edu0000-0002-5644-7499
Keywords: normal function cancer biology selected effects accounts fitness-contribution accounts
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Function/Teleology
Specific Sciences > Biology > Molecular Biology/Genetics
Specific Sciences > Medicine > Health and Disease
Depositing User: Seth Goldwasser
Date Deposited: 03 Nov 2022 15:07
Last Modified: 03 Nov 2022 15:07
Item ID: 21350
Subjects: Specific Sciences > Biology
Specific Sciences > Biology > Function/Teleology
Specific Sciences > Biology > Molecular Biology/Genetics
Specific Sciences > Medicine > Health and Disease
Date: 2022
URI: https://philsci-archive.pitt.edu/id/eprint/21350

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item