Librarians can use citation metrics to inform what journals they buy.   They 
can also point out they have a finite budget and ask their customers which 
journals to prioritize.   Same goes for ISPs.   There's a natural tendency 
toward ISPs that protect their customers from exploitative agents.  Ultimately 
it is a trade off between abusive big players, having an accessible 
marketplace, and what we'd call criminal behavior.. as Roger's article 
explains.  

-----Original Message-----
From: Friam <[email protected]> On Behalf Of glen
Sent: Thursday, September 8, 2022 7:31 AM
To: [email protected]
Subject: Re: [FRIAM] Still more faking it till you make it

Ha! Grats on getting your pseudo-profound BS bot running! Mine's still in 
development. I was trying to use Julia. But the JIT slows my debug cycle.

On 9/8/22 07:27, Marcus Daniels wrote:
> The Arc of the Moral Universe is Long but it Bends Toward Justice.   
> Meanwhile there is injustice.   The universe will do what it will do.
> 
> -----Original Message-----
> From: Friam <[email protected]> On Behalf Of glen
> Sent: Thursday, September 8, 2022 7:20 AM
> To: [email protected]
> Subject: Re: [FRIAM] Still more faking it till you make it
> 
> Yeah, again you're living in an ideal world. The reality is librarians 
> receive requests from their customers for subscriptions to journals. So 
> librarians might receive requests to subscribe to crap journals (requests 
> made, perhaps, by students or new lecturers that haven't done their homework) 
> and they're going to have to decide whether the journal is crap, assuming 
> they have the budget to work with in the first place.
> 
> Just saying "if it's crap, don't buy a subscription" is naive to the point of 
> uselessness. It's like those Nigerian scam emails. They wouldn't keep doing 
> it if the hit rate were zero. And, yeah, you can always claim that 95 year 
> old woman struggling to pay for her cancer treatment *should* get scammed 
> because she's stupid. But, in reality, most people won't make silly claims 
> like that. Those of us who *can* help stop scammers, should help stop 
> scammers.
> 
> 
> On 9/8/22 06:57, Marcus Daniels wrote:
>> If a journal is crap, don't buy a subscription for it.   Mostly I think 
>> there is a lot of publication that doesn't need to occur, and the incentives 
>> for that are largely to blame.
>>
>> -----Original Message-----
>> From: Friam <[email protected]> On Behalf Of glen
>> Sent: Thursday, September 8, 2022 5:54 AM
>> To: [email protected]
>> Subject: Re: [FRIAM] Still more faking it till you make it
>>
>> Well, there are analogs to "irate customer generating negative feedback" in 
>> polluting the commons. The real difference between the rhetoric in that 
>> optimal fraud article and things like AI-generated nonsense publications is 
>> the "waterfall" accountability. There's an equivalent waterfall 
>> accountability to processing information from ill- or non-curated sources. 
>> But it's not measured as well, nor are the costs proportionally born by 
>> those involved.
>>
>> Marcus' suggestion that all the cost should be (is) born at the edge is pure 
>> fantasy. The costs are also born by, e.g. every editor with a shred of 
>> integrity, every institution that pays for subscriptions, every researcher 
>> hunting for a "good" place to submit their work, etc. More banal examples 
>> might be wellness channels on Youtube, places like Goop <https://goop.com/>, 
>> or the nutriceutical market(s). A poignant example is the Log4Shell supply 
>> chain vulnerability.
>>
>> Garbage can be inserted into any branch point in the (pollutable) supply 
>> chain. And the costs are born by the entire chain, proportionality depending 
>> on whether it's "regulated" by conscious attendees (like the head of Fraud 
>> in Business, Inc. or the actuaries at the insurance companies).
>>
>> On 9/7/22 20:02, Roger Critchlow wrote:
>>> In a similar vein, this article showed up on hackernews last week
>>>
>>> https://bam.kalzumeus.com/archive/optimal-amount-of-fraud/
>>> <https://bam.kalzumeus.com/archive/optimal-amount-of-fraud/>
>>>
>>> though a fraudulent credit card transaction has an irate customer 
>>> generating negative feedback, where a badly edited journal merely pollutes 
>>> the commons.
>>>
>>> -- rec --
>>>
>>> On Wed, Sep 7, 2022 at 9:42 PM Marcus Daniels <[email protected] 
>>> <mailto:[email protected]>> wrote:
>>>
>>>       What is the problem with paper mills?  Cite papers that are 
>>> important, ignore papers that are not.
>>>
>>>>       On Sep 7, 2022, at 1:32 PM, glen <[email protected] 
>>>> <mailto:[email protected]>> wrote:
>>>>
>>>>        We need to talk about editors
>>>>       
>>>> http://deevybee.blogspot.com/2022/09/we-need-to-talk-about-editors.
>>>> h
>>>> t
>>>> ml?m=1
>>>> <http://deevybee.blogspot.com/2022/09/we-need-to-talk-about-editors.
>>>> h
>>>> tml?m=1>
>>>>
>>>>       I know. Ya'll are prolly unsubbing because of all my spam. But until 
>>>> Voldemort bans me, this is the state of the world.
>>>>
>>>>       What does it say about me that I find this beautiful:
>>>>
>>>>       "Asthma disease are the scatters, gives that influence the lungs, 
>>>> the organs that let us to inhale and it’s the principal visit disease 
>>>> overall particularly in India. During this work, the matter of lung 
>>>> maladies simply like the trouble experienced while arranging the sickness 
>>>> in radiography are frequently illuminated. There are various procedures 
>>>> found in writing for recognition of asthma infection identification. A few 
>>>> agents have contributed their realities for Asthma illness expectation. 
>>>> The need for distinguishing asthma illness at a beginning period is very 
>>>> fundamental and is an exuberant research territory inside the field of 
>>>> clinical picture preparing. For this, we’ve survey numerous relapse 
>>>> models, k-implies bunching, various leveled calculation, characterizations 
>>>> and profound learning methods to search out best classifier for lung 
>>>> illness identification. These papers generally settlement about winning 
>>>> carcinoma discovery methods that are reachable inside the
>>>>       writing."
>>


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