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List:       kde-promo
Subject:    Re: [kde-promo] Offer to do some stats analysis for KDE
From:       Justin Kirby <justin () neomantra ! org>
Date:       2010-04-26 17:34:00
Message-ID: t2v3ba8a281004261034p39da679rb2e3f58f68565970 () mail ! gmail ! com
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On Mon, Apr 26, 2010 at 1:28 PM, Alexander Neundorf <neundorf@kde.org>wrote:

> On Sunday 25 April 2010, Albert Astals Cid wrote:
> > A Diumenge, 25 d'abril de 2010, Troy Unrau va escriure:
> > > On 25 April 2010 14:57, Albert Astals Cid <aacid@kde.org> wrote:
> > > > Personally i'm only interested if his scripts are made public,
> > > > otherwise there is no way to trust his study.
> > >
> > > Um, wouldn't he be publishing a thesis, ergo peer review?
> >
> > Master thesis != Phd thesis
> >
> > The peer review happening in a master thesis is 0.
>
> Even for papers on conferences or journals, even while they are reviewed,
> only
> the papers themself are reviewed. If they present results from whatever
> experiments, the sources, scripts, tools, etc. don't have to be published
> anywhere, so actually the numbers in such papers cannot be verified.
> Here's more on that: http://www.kitware.com/blog/home/post/6
>
>
Wouldn't that be a non-issue in this case though?  We're the ones giving him
the original/source data to analyze, correct?

-Justin


> Alex
>
> _______________________________________________
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>
> Visit https://mail.kde.org/mailman/listinfo/kde-promo to unsubscribe, set
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<br><br><div class="gmail_quote">On Mon, Apr 26, 2010 at 1:28 PM, Alexander Neundorf \
<span dir="ltr">&lt;<a href="mailto:neundorf@kde.org">neundorf@kde.org</a>&gt;</span> \
wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, \
204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"> <div class="im">On Sunday 25 \
April 2010, Albert Astals Cid wrote:<br> &gt; A Diumenge, 25 d&#39;abril de 2010, \
Troy Unrau va escriure:<br> &gt; &gt; On 25 April 2010 14:57, Albert Astals Cid \
&lt;<a href="mailto:aacid@kde.org">aacid@kde.org</a>&gt; wrote:<br> &gt; &gt; &gt; \
Personally i&#39;m only interested if his scripts are made public,<br> &gt; &gt; &gt; \
otherwise there is no way to trust his study.<br> &gt; &gt;<br>
&gt; &gt; Um, wouldn&#39;t he be publishing a thesis, ergo peer review?<br>
&gt;<br>
&gt; Master thesis != Phd thesis<br>
&gt;<br>
&gt; The peer review happening in a master thesis is 0.<br>
<br>
</div>Even for papers on conferences or journals, even while they are reviewed, \
only<br> the papers themself are reviewed. If they present results from whatever<br>
experiments, the sources, scripts, tools, etc. don&#39;t have to be published<br>
anywhere, so actually the numbers in such papers cannot be verified.<br>
Here&#39;s more on that: <a href="http://www.kitware.com/blog/home/post/6" \
target="_blank">http://www.kitware.com/blog/home/post/6</a><br> \
<br></blockquote><div> </div><div>Wouldn&#39;t that be a non-issue in this case \
though?  We&#39;re the ones giving him the original/source data to analyze, correct? \
<br><br>-Justin<br> </div><blockquote class="gmail_quote" style="border-left: 1px \
solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">

Alex<br>
<div><div></div><div class="h5"><br>
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</div></div></blockquote></div><br>



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