Operationalize Puns

Is anyone familiar with work that assesses the quality of deliberation among the populace of a country? If so, can you please point me in that direction. I am aware of research that assesses quality of deliberation in legislatures and in deliberative democratic bodies, but I am looking for work on assessing the quality of deliberation in the populace as a whole.

Assuming no such work exists yet, how might one measure the quality of deliberation among the people of a country? I'm open to all suggestions at this point.

[Full disclosure: this is not a homework assignment but is a topic I am considering for my master's thesis.]

I'm looking for studies or measures where people were observed having an argument or disagreement and assessed whether the argument was "healthy" or not. Hoping there's been someone who's thought of ways to measure a good, clean argument vs. a below the belt unhealthy kind of argument.

Recently I reached out to a local food charity to get 'throw away' food to feed my two pigs. They were very excited to help me, and offered that they could also provide feedstock for composting.

I am looking at about 300 gallons of (non meat) kitchen waste per week. Some will go to the pigs.

I am considering aerated static compost piles. I would mix the kitchen feedstock with straw at 3 or 4 straw to 1 kitchen feedstock.

I intend to use pallets to make three bins about two pallets on each side. Put 4" perforated pipe horizontally along the bottom. Do I need to blow air, or will ambient air be sufficient? Will I need vertical pipes, or vertical tubes that are pulled after the desired height of the pile? Any advice to deal with cold temps? I am in zone 6. Any advice to minimize manual labor?

My intent is to either just shovel/pitchfork at the ratio, or to put into a cement mixer to help break down. I am looking into getting a chipper/shredder.

Later I might be able to get a front end loader for my atv, but not for now.

I am on an acre in a semi-urban setting with mostly good neighbors.

Thank you.

Hi everyone, I wrote this post on Medium's Startup publication and want to share it here as I wrote the article with folks like you in mind (I have no intention to self-promote)

It's essentially my 2-cent view on how founders can de-risk their product-building process and find a product that their customers will love.

In short, for founders to de-risk their product development process, they need to get into a mindset of hypothesis testing before building or designing, anything.

You'll need to find the right people who can validate your hypothesis -- your target users -- and establish a long-term partnership with them so that they continuously help with your product development process as you continuously iterate on a hypothesis that eventually leads to an MVP.

The essence of such a relationship is that should ultimately become your first ever customers.

Here's the link: How an Early Stage Startup Can Operationalize It’s Way to Product-Market Fit.

Hope ya'll enjoy it and please feel free to ask any questions if you read it!

I need to extract the most "popular" tweets from a particular company. I was wondering how to operationalize tweet popularity, given that there are 3 different metrics Twitter uses (likes, retweets, # of comments). Is there a method to combine these metrics into a single variable? For instance, I could just add up the number of likes, retweets, and comments, but I don't know whether this formula fully captures how popular a tweet is. Also, does anyone know of any papers that operationalize tweet popularity? Or the popularity of any social media post for that matter.

Hello,

This might be a bit off-topic for this subreddit, sorry. Anyway, my friend made a prediction that there was about a 20% chance that the US would experience a civil war within the next year, which I thought was unreasonably high. They offered to bet on it, but we first need to find an objective definition of what would count as a civil war. I checked the IR/political science literature and it appears one definition is something like an intrastate armed conflict involving the state where the total number of deaths exceeds 1000 (total? per year?). Can someone confirm that this is the standard definition? Also, to make it even easier to resolve, does anyone know of a good data source that would allow us to easily check whether this condition has been satisfied?

Thanks.

I'm in a PhD program. I keep hearing these terms thrown around and have looked them up in the textbook (which is pretty dry) and kind of get them but don't feel super comfortable using them or like I have an intuitive grasp of them. Simple definitions and examples would be really helpful.

Curious to hear the community’s thoughts on this!

Wondering if any of you have any examples of this, especially ones that somehow manage to integrate machine learning. I don't know of any ML ones, but one that is interesting is Metaculus, which is a social prediction engine that has partnered with organizations, one even in the official sector, about "forecasting" important events.

Its an example of a social media platform, a pretty standard forum structure in the case of Metaculus, that steers the incentives of users to reach certain collective ends. I don't believe Metaculus has a native cryptocurrency, but that is one potentially effective technique.

Check out Numerai as an example of how a native token can be used to incentivize certain behavior - honest behavior over dishonest behavior in the case of Numerai, which is a competition among user-submitted ML algorithms designed to predict the market, in which users stake Numeraire, Numerai's native token, upon their prediction data to signify they have something at stake.

Accurate predictions are rewarded with more Numeraire, while the staked Numeraire is burned upon submission of the prediction. I could be wrong about some of the details though.

Even certain subreddits have been operationally gamified. Anyone know of any other examples?

I'm currently theorizing a social media platform that could be used to ideologically train ML algorithms, with human users being incentivized to be honest and introspective regarding their ideological standpoints. Don't know how to code yet, though.

Master's student with a question I have been thinking about. Hoping some of the minds here can offer their thoughts.

What are some of the different attitudes or behaviors you could look at to measure job satisfaction?

The only obvious ones to me are self-report and voluntary turnover.

I assume that positive psychology has various methods to get at happiness and well-being, which could be brought to the workplace. But if an organization asked you to determine how much their employees enjoyed working there, what would you look at?

Feel free to be technical or impractical in your responses :)

Training for Hiring Mangers? Education for staff around company goals for talent acquisition targets in various categories? Regular reporting for business leaders to understand the makeup of their orgs?

https://twitter.com/himantabiswa/status/1386623068542439426?s=21

For all the experts out there that manages ansible for network automation, I am aware that there are "roles" and "playbooks" in ansible. Is there an example or anyone have any examples on how we can operationalize Ansible for a small network team?

Example, I can create a few roles on "Tor - top of the rack switch" or "Spine switch" but what about one offs like specific network configurations like shutting down a port or setup LACP?

Should i have roles and playbooks for specific switches?

Thank You

Can someone plz clarify what this means, in a non super statistics-y way. I think I have a working understanding of it, but still unsure. Is it saying how will a researcher "make a physical process" into a "research variable to be studied"?