what I'd like to know
Tell me what you think
(open to share feedback)
Every page here has Hypothes.is turned on, so you can highlight any bit and comment in the margin (the tab at the top-right) — or just use the box below. A few things I'm wondering:
- Is this actually easier to follow than the separate pages, or not?
- Which format, if any, works for you — and what would make it more useful, whether you're reading, an author, an evaluator, or a funder?
- Anything confusing, missing, or that I should cut? Does the back-and-forth between the paper, the evaluations, and the authors read as one conversation?
- Or something else entirely — I'm not wedded to any of these, and I'd be glad to hear about other tools or examples I should look at.
four real evaluation packages · the "hub" layout
Start here: four real evaluation packages, one page each — the "hub" layout
These are real, already-published Unjournal evaluations, each put onto a single page — the layout we call the "hub". All four include the authors' response, set out point by point against the evaluators' comments — which is the part that's hardest to follow when it's scattered across pages.
Empirical economics / IO Author response
Observational price variation does not reproduce experimental price elasticities
Bray, Sanders & Stamatopoulos (2026)
Two evaluators on whether the usual scanner-data methods recover the price elasticities you'd get from an actual pricing experiment. The authors reply point by point.
2 evaluators · Lars Roemheld + 1 anonymous
Open the Bray et al. hub →Macro / economics of AI Author response
Artificial Intelligence and Economic Growth
Aghion, B. Jones & C. Jones (NBER, 2019)
Two evaluators (one of them caught a proof error) on a paper about AI, growth, and when you might get a "singularity". The authors reply.
2 evaluators · Benzell · Trammell
Open the Aghion et al. hub →Conservation / policy Author response
Banning wildlife trade can boost demand for unregulated threatened species
Kubo et al.
Two evaluators on whether trade bans push demand onto related, still-legal species, using Japanese auction data. The authors answer each comment in turn — in unusual detail.
2 evaluators · Jia Huan Liew + 1 anonymous
Open the Kubo et al. hub →Global health / RCT Author response
Intergenerational Child Mortality Impacts of Deworming (KLPS, Kenya)
Walker et al.
Two (anonymous) evaluators on whether deworming one generation lowers their children's mortality. One flags an apparent departure from the pre-registered plan; the authors explain why it isn't one.
2 evaluators (anonymous) · ratings on PubPub
Open the Walker et al. hub →if you're curious
A few other formats I tried
The four pages above use the "hub" layout because, after trying a handful of approaches on one example (Benjamin et al. on wellbeing scale-use, evaluated by Kaiser and Prati), it seemed the most readable to me. The others each did one thing well, and you might prefer one of them — they're here if you want to compare. You can skip this part.
the one above used here
Reading Hub
Everything on one scrolling page, with the ratings up top and a link from each rating into the part of the write-up it refers to.
Open the Hub →alternative
Claim-anchored reader
Two panes: pick a claim on the left, and see what each evaluator said about that claim on the right.
Open the claim-anchored reader →alternative
Scrollytelling explainer
Walks you through the paper's idea first (with a couple of interactive bits), then the full record below it. Probably the gentlest if you're not a specialist.
Open the explainer →alternative
Threaded dialogue
The whole package as one threaded conversation, labelled by who's speaking and filterable by topic.
Open the threaded view →