Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 497

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

American Journal of Economics and Sociology

Open access
·2010·American Journal of Economics and Sociology

Abstract

The intangible flow theory explains that flows of economic material elements (such as physical goods; or cash) are consummated by human related intangible flows (such as work flows; service flows; information flows; or communicational flows) that cannot be precisely appraised at an actual or approximate value, and have properties precluding them from being classified as assets or capitals.Therefore, although mathematical/quantitative research methodologies are very relevant for science, they are insufficient to study economy and society.Due to its prejudice against non mathematical/quantitative scientific reasoning, neo-classic economics could not be technologically prepared to reach the intangible flow dynamics of economic phenomena.Furthermore, the neo-classic solution to call people human assets or human capital, besides being ethically very questionable, offers performative non-scientific metaphors that intervene in the production of the reality they claim to represent; and sabotages the study of well delimited research questions by scientific approaches outside the realm of neoclassic economics.

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 · 10.1111/(issn)1536-7150

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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

Cites

Show all 2 references

Cited by

See all 497

Metadata

Venue
American Journal of Economics and Sociology
Publisher
Wiley
Published
2010-06-24
ISSN
  • 0002-9246 (ISSN-L)
  • 1536-7150
OpenAlex
W4246812311
Cited by
497
References
2
Type
paratext
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: American Journal of Economics and Sociology. https://app.cochat.ai/papers/10.1111/(issn)1536-7150
The paper
American Journal of Economics and Sociology. (2010). American Journal of Economics and Sociology. https://doi.org/10.1111/(issn)1536-7150

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.