Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 3,346

The DOI matches its Crossref record.

Epistemic cultures: how the sciences make knowledge

·1999·Choice Reviews Online
DOI 10.5860/choice.37-0887
Open this paper in CoChat — free account

Abstract

A Note on Transcription 1. Introduction 1.1. The Disunity of the Sciences 1.2. The Cultures of Knowledge Societies 1.3. Culture and Practice 1.4. The Structure of the Book 1.5. Physics Theory, and a First Look at the Field 1.6. Issues of Methodology, and More about the Field 2. What is a Laboratory? 2.1. Laboratories as Reconfigurations of Natural and Social Orders 2.2. From Laboratory to Experiment 2.3. Some Features of the Laboratory Reconsidered 3. Particle Physics and Negative Knowledge 3.1. The Analogy of the Closed Universe 3.2. A World of Signs and Secondary Appearances 3.3. TheMeaninglessness of Measurement 3.4. The Structure of the Care of the Self 3.5. Negative Knowledge and the Liminal Approach 3.6. Moving in a Closed Universe: Unfolding, Framing, and Convoluting 4. Molecular Biology and Blind Variation 4.1. An Object-Oriented Epistemics 4.2. The Small-Science Style of Molecular Biology and the Genome Project 4.3. The Laboratory as a Two-Tier Structure 4.4.Blind Variation and Natural Selection 4.5. The Experiential Register 4.6. Blind Variation Reconsidered 5. From Machines to Organisms: Detectors as Behavioral and Social Beings 5.1. Primitive Classifications 5.2. Detector Agency and Physiology 5.3. Detectors as Moral and Social Individuals 5.4. Live Organism or Machine? 5.5. Are There Enemies? 5.6. Physicists as Symbionts 5.7. Taxonomies of Trust 5.8. Primitive Classifications Reconsidered 6. From Organisms to Machines: Laboratories as Factories of Transgenics 6.1. A Science of Life without Nature? 6.2. Organisms as Production Sites 6.3. Cellular Machines 6.4. Industrial Production versus Natural (Re)production 6.5. Biological Machines Reconsidered 7. HEP Experiments as Post-Traditional Communitarian Structures 7.1.. Large Collaborations: A Brief History 7.2. The Erasure of the Individual as an Epistemic Subject 7.3. Management by Content 7.4. The Intersection of Management by Content and Communitarianism 7.5. Communitarian Time: Genealogical, Scheduled 8. The Multiple Ordering Frameworks of HEP Collaborations 8.1. The Birth Drama of an Experiment 8.2. Delaying the Choice, or Contests of Unfolding 8.3. Confidence Pathways and Gossip Circles 8.4. Other Ordering Frameworks 8.5. Reconfiguration Reconsidered 9. The Dual Organization of Molecular Biology Laboratories 9.1. Laboratories Structured as Individuated Units 9.2. Becoming a Laboratory Leader 9.3. The Two Levels of the Laboratory 9.4. TheImpossibility of Cooperation in Molecular Biology 10. Toward an Understanding of Knowledge Societies: A Dialogue Notes References Index

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5860/choice.37-0887

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Venue
Choice Reviews Online
Publisher
American Library Association
Published
1999-10-01
Volume
37
Issue
02
Pages
37-0887-37-0887
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
DOI
10.5860/choice.37-0887
OpenAlex
W2044509498
Cited by
3,346
References
0
Type
book review
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.