The sting from a sting operation and the Trojan horse of ideology
Unpublished defence of Sokal 2
Unpublished defence of Sokal 2
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impact quality of academic work and the quality of the review process. And there are many
examples of bad research getting past reviewers.
However, there is a difference here that needs
attention. The expectation of honesty and
integrity is a part of the review process. If I am
making an empirical claim, the data I use to
ground that claim, if faked, can be used as a
Trojan horse to get it past quality control. And
technical aspects of statistical analyses in
quantitative research can bamboozle timepoor
reviewers and errors can go unnoticed.
But in order for my claim to be warranted
based on my data, the line of reasoning that
links the two should be sufficiently logical and
coherent. Poor data and poor argumentation
are two different things. Dishonesty can hide
poor (or fake) data, and compelling data can sometimes disguise poor reasoning. But dishonesty
cannot disguise reasoning directly as the reasoning should be laid bare in the article. Dishonesty is
not the Trojan horse that is exposed in SokalSquared. Everyone agrees dishonesty hurts the quality
and reputation of academic work (Note: dishonesty is different from deception – i.e. goals matter).
Ideology as a Trojan horse
Toulmin’s model of argumentation. Reproduced from Wikipedia.
The Trojan horse here is the ideological bias of the journals (and the grievance studies disciplines
they represent). These were not obscure journals; they were in some cases, the leading journal for
that academic area. The purposely broken reasoning of the PBL articles was disguised with the
‘correct’ ideology. It is belief bias in action (see also motivated reasoning and confirmation bias). The
sting highlights the need for greater institutionalized disconfirmation and viewpoint diversity. So if
there is a prevalent mechanism that will disguise (or cloud) shoddy reasoning, while this does not
prevent well-reasoned arguments being made, it certainly limits the ability of scholars in these areas
to tell good from bad.
The point of the audit was not to suggest all of the articles from these disciplines are garbage but to
highlight the detrimental impact ideological blinders have on identifying poor methodology and
argumentation. And in these disciplines ideology is pervasive to the point of being an orthodoxy. The
difference is dishonesty and data fakery (a Trojan horse in and beyond the social sciences) is not
orthodox behavior. It is not promoted, it is actively exposed. Exposure of that Trojan horse is not
met with whataboutery. To expand the problems identified in SokalSquared to all peer-review is
false equivalence.
The audit suggests the lack of a ‘logic’ barometer in grievance studies (to differentiate A and C in the
graphic below), but this does not mean reasonable scholarship has not been done (A and B).
However, while good scholarship is sensitive to a difference across rows, good propaganda is
sensitive to a difference across columns.