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ca693b8bd1eb5f2789da9233f56f5d25
mooc-rr
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5e79e620
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5e79e620
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Mar 26, 2024
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ca693b8bd1eb5f2789da9233f56f5d25
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Add some notes on module 2.
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5e79e620
---
title
:
MOOC, Reproducible Research
author
:
Thomas Rushton
---
# MOOC: Reproducible Research
-
[
22/03/2024
](
#22/03/2024
)
-
[
26/03/2024
](
#26/03/2024
)
# 22/03/2024
I started this MOOC a few days ago (18/03) and this is my first day tackling
...
...
@@ -25,7 +34,9 @@ perspectives on otherwise familiar tools.
-
[
Apparently
](
https://stackoverflow.com/a/4829998
)
Pandoc prefers the
triple-hyphen;
-
I thought markdown comments had to be some awful thing like
`[//] # (this is a comment)`
.
`[//] # (this is a comment)`
;
-
Anyway, here's an example:
`<!--- :mylabel: --->`
;
-
And now there's a(n invisible) tag against which to search this document.
## Interesting links
...
...
@@ -93,5 +104,62 @@ painful.
### ExifTool
Perhaps I
*should*
be adding metadata to my images and audio files.
```shell
exiftool -[comment|notes]=":mylabel:" img.jpg
```
Worth remembering that, in addition to EXIF,
[
XMP
](
https://en.wikipedia.org/wiki/Extensible_Metadata_Platform
)
exists.
# 26/03/2024
Working my way through Module 2.
## Reproducibility Problems
-
[
Reinhart & Rogoff
](
https://en.wikipedia.org/wiki/Growth_in_a_Time_of_Debt
)
:
Growth in a Time of Debt
In short, the basis for the economic orthodoxy with regard to _austerity_ in the
wake of the 2008/9 financial crisis.
Ultimately based the insubstantiable assertion that national debt exceeding 90%
of GDP has "
[
dramatic consequences for growth
]
".
By the time their dubious data-handling and slipshod statistical practice had
been discovered, their conclusions were already in the hands of conservative
economic policymakers.
-
Chang et al. and the database column-swap
[
debacle
](
https://people.ligo-wa.caltech.edu/~michael.landry/calibration/S5/getsignright.pdf
)
Papers had to be retracted.
Sure, methodological problems, but driven by _sociological/cultural_ ones;
high productivist pressure
—
_publish or perish_.
The real problem is the risk of a lack of rigour and transparency...
## Why is reproducibility difficult?
-
Lack of info leading to inability to replicate decisions made by original
researchers.
-
Profusion of errors caused by the user of computers;
-
computers permit us to go further and faster, but also to make errors more
readily and rapidly;
-
there's also the black-box effect of proprietary software, and the daftness
of opinionated design decisions being confused for helpful ones, e.g.
"MARCH1" and "2310009E13" being interpreted by Excel as a date and a very
large number respectively.
-
Lack of rigour and organisation;
-
no VCS, manual file-naming conventions, etc.;
-
no code-review or continuous integration.
-
And, as ever, cultural/social issues;
-
an article can be (uncharitably) described as an advert for the _real_ work
of research and result-gathering, but why?;
-
well, perhaps we feel like we could have been more rigorous, so we take a
few liberties with documenting our work, we get selective with our results,
etc.;
-
ultimately we don't wish to suffer embarrassment or humiliation, or (worse
still!) miss an opportunity to publish;
-
the irony being that we'd be better-placed to publish if we were open,
transparent, etc.; but we're far from alone in all this.
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