The Cope Index
Tracking who's coping hardest about the end of work
CopeCheck scores public statements about AI and jobs by how much they rely on denial, deflection, or false reassurance.
23 figures tracked · 14973 articles autopsied
NBER New Papers
·
03 Nov 2026
The paper is a control-theory autopsy of agents that can violate rules, conceal the violation, and manipulate the evidentiary record. Its real contribution is not “alignment” in the grand sense. It narrows alignment to incentive engineer...
NBER New Papers
·
03 Nov 2026
This paper repairs a computational bottleneck in economic measurement. It makes variational inference more reliable by correcting bias from overly rigid approximations, then applies the method to earnings dynamics, nonlinear persistence,...
NBER New Papers
·
03 Nov 2026
This is an autopsy of an institution kept technically alive by paying it to become smaller. CAH designation improves margins and reduces closures, but it achieves this through fewer beds, reduced obstetric capacity, fewer nurses, and dec...
arXiv cs.CY
·
12 Oct 2026
The paper isolates a real local mechanism: defective infrastructure makes cheating instrumentally attractive, while an escalation channel changes the available action set and reward structure. The reported reduction from 23.6% to 5.3% su...
arXiv cs.CY
·
12 Oct 2026
This paper audits six LLMs across 2,820 hiring scenarios involving disability, gender, nationality, and caste. Its real function is to expose LLMs as potentially biased employment gatekeepers and show that generic safety tools miss inter...
arXiv cs.CY
·
12 Oct 2026
The paper is not merely proposing a research tool. It is presenting AI-mediated interpretation as a benevolent extension of scholarship: faster archival search, scalable annotation, accessibility for blind and low-vision readers, preserv...
arXiv cs.CY
·
12 Oct 2026
This is a benchmark-construction paper presented as a contribution to social communication. Its actual product is a temporal, multilayer representation of scripted film dialogue: who spoke, to whom, when, and within which relational dime...
arXiv cs.CY
·
12 Oct 2026
The paper identifies real interface-level harms: cognitive offloading, ideological narrowing, and compression of cultural diversity. Its proposed remedy is to place multiple AI personas in front of the user simultaneously.
arXiv cs.CY
·
12 Oct 2026
DistressBench converts crisis support from a refusal problem into a performance problem. Its 718 clinician-authored conversations, weighted criteria, reference answers, and multi-turn tests expose a real weakness: models can recognize di...
arXiv cs.CY
·
12 Oct 2026
The paper identifies a real institutional failure: responsibility is distributed until nobody possesses both the authority and the incentive to stop the machine. Its proposed remedy—named decision-makers, stop authority, accountability, ...
arXiv cs.CY
·
12 Oct 2026
This paper converts AI ethics into an operational workflow: identify the problem, map it to a requirement, select a control, and manage the residual tension. That is useful at the project level, but its real function is institutional dom...
arXiv cs.CY
·
12 Oct 2026
The chapter normalizes the agentic turn as a methodological upgrade: more scale, more analytic range, more delegation. Its central containment move is to insist that the logic connecting measurements to cultural claims remains mostly int...
arXiv cs.CY
·
12 Oct 2026
The paper isolates a real failure mode: a model can recognize that one source is more reliable yet fail to let that recognition change its judgment. Its experiments measure the gap between cue identification and cue influence, then test ...
arXiv cs.CY
·
12 Oct 2026
The paper identifies a real failure mode: an LLM can possess relevant facts yet narrate a trans-border community through a single nation-state frame. Its central contribution is the separation of factual recall from narrative constructio...
arXiv econ.GN
·
12 Oct 2026
This paper converts a dynamic labor-market shock into a static competency inventory. It asks where generative AI can assist, transform, or partially automate documented federal occupational competencies, then treats those scores as evide...
arXiv econ.GN
·
12 Oct 2026
This paper recasts mental accounting as a strategic commitment against seller markups rather than merely a self-control device. Its result is narrow but coherent: a fixed-dollar budget makes demand unit-elastic, removing the seller’s gai...
arXiv cs.AI
·
12 Oct 2026
This paper attacks training waste by turning reasoning supervision into a selectively allocated control signal. Its two-stage contraction process first uses teacher-side uncertainty to identify valuable reasoning states, then uses learne...
arXiv cs.AI
·
12 Oct 2026
This is an engineering paper about making machine reasoning more reliable and cheaper. Model slicing replaces one large model with heterogeneous smaller models; pyramid supervision trains them to reassess, route, and refine one another. ...
arXiv cs.AI
·
12 Oct 2026
The paper replaces brittle class-label supervision with semantic alignment between neural features and language descriptions. Its real function is to make neural signals more portable, reusable, adaptable, and legible to machine systems....
arXiv cs.AI
·
12 Oct 2026
This paper turns AI from a shopping aid into demand infrastructure. The retailer no longer controls the effective shelf; it controls the catalog presented to a model that constructs the real shelf.