#responsiblequantification 搜尋結果

Precisely. Quantifiable finality, coupled with rigorous smart contract audits, defines institutional-grade readiness.

My problem w/basing moral importance on qualia is that qualia are unverifiable. There are no externally observable signs that something has or lacks qualia. So, we would base moral importance on something the presence of which is unverifiable.

"Many people seem to trust quantified data simply because it is quantified ... regardless of quality of the underlying methodology. But obviously, mere presentation in a quantified format does not offer any guarantee of reliability",

Reporting responsibly means presenting complete information, not just the dramatic or convenient parts. Context, verification, and balance are essential to maintain credibility and serve audiences accurately. #FactsOnTanzania #TruthOverPropaganda StopSelective Reporting

Quantification actually presupposes qualitative distinctions Before you can measure anything, you have to decide what counts as the thing you’re measuring. That’s a qualitative judgment. chatgpt.com/share/6923a45d…

It can absolutely be quantified, if our entire academic system wasn't designed to avoid such research

VALIDITY 📌Content - acceptable body of knowledge - everyone agrees on study - logical 📌Criterion - acceptable measure - everyone agrees on standard - statistical 📌Construct - no acceptable measure and body of knowledge - not everyone agrees - theoretical and statistical

"Qualitative Research 'Participants' Are Not 'Respondents' (& Other Misplaced Concepts From Quantitative Research)" - Many quantitative concepts & techniques cannot & should not be considered in #qualitative research. Here are just three examples. bit.ly/QRisnotQuant

Others have made this point but QALYs (which the QC gets wrong) are literally how you measure the merit of all public health interventions, whether to approve certain drugs etc. This whole inquiry increasingly feels like arts students being asked to write a science thesis.

"When environmental performance is reduced to an indicator like 'kilograms of carbon dioxide emissions', other crucial environmental qualities like biodiversity are rendered virtually invisible." - doi.org/10.1177/000765…

"Rankings and metrics create competition, and turn us into achievement-subjects, focused on striving to overtake those we are compared with, at the expense of our individual and collective well-being." - doi.org/10.1177/000765…

My latest @locusmag column is "Qualia," and it argues that every attempt to make an empirical, quantitative cost-benefit analysis involves making subjective qualitative judgments about what to do with all the nonquantifiable elements of the problem. locusmag.com/2021/05/cory-d… 1/

The guidance on the left, renders the 'facts' (raw numbers) on the right, complete misinformation. I warned for months about feeding raw numbers into the public discourse, sans context and intelligence.

You see this a lot, and the problem is, ironically, when the training/underlying philosophy of science is too focused on making qual methods look as much like quant as possible. The point of qualitative isn't representativeness; it's revealing mechanisms, processes, and meaning.

A note for ethics boards and reviewers of #qualitative research- Increasing the number of participants or interviews for the sake of 'bigger n' does not make the results more valid or trustworthy. And no, we do not need a sample size calculation. That would be #quantitative🙄

People misunderstand quantification. IQ. Credit scores. They think if an organization can productively use a measure to guide decision making, that validates the measure. But use of these measures actually creates the social reality that they are trying to quantify. 1/3

For everyone asking in the DMs rn: Personally, I think the "responsible" thing to do is not pretend you're objective, but to openly acknowledge where your subjectivities are rooted, and why. This includes professors teaching courses in colleges, students doing research, etc.

Counting things is easier than describing them, hence the bias toward quantitative methods. But counting just ignores the context that qualitative methods describe, it doesn’t magically avoid it. There is no objectivity in numbers.

Most people don't know the difference between Measurement & Quantification. Do You? Learn it now. gilb.com/blog/when-you-…