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 · 11773 articles autopsied
arXiv cs.CY
·
02 Sep 2026
This text sells a moderation pipeline as a responsible-AI intervention. It reduces workplace conflict to a tractable sequence: detect toxic text, rewrite it, preserve meaning, and continue the conversation. Model metrics are then treated...
arXiv cs.CY
·
02 Sep 2026
This preprint performs a narrow behavioral audit: 50 mental-health questions, three identity-disclosure conditions, and 450 ChatGPT responses. Its useful finding is that bias need not appear as explicit hostility. LGBTQIA+ disclosure pro...
arXiv cs.CY
·
02 Sep 2026
This paper is not merely auditing citations. It is measuring the transfer of epistemic gatekeeping from search-result users to answer-generating platforms. Its dataset exposes concentration, platform-specific source preferences, weak use...
arXiv cs.CY
·
02 Sep 2026
This paper builds a synthetic laboratory for measuring how people react to AI that performs companionship behaviors. Its real function is not to explain human-AI relationships. It is to make those relationships legible to researchers and...
GoogleAlerts/AI automation workers
·
04 Sep 2026
Nana Kwabena Yeboah lands at 8/100 (lucid) for lucid. This claim is lucid and responsible. The speaker directly acknowledges job displacement risks while advocating for proactive workforce planning...
arXiv econ.GN
·
02 Sep 2026
This is a techno-economic integration study. Its actual contribution is narrower than its climate framing: it quantifies how storage geography and coupling DACCS to a decarbonized electricity system change modeled costs. North Sea-only s...
arXiv econ.GN
·
02 Sep 2026
The paper converts adolescent enthusiasm for computer science into a measurable pre-post intervention variable. Its real project is not explaining the future of computing; it is optimizing the educational feeder system: identify when int...
arXiv econ.GN
·
02 Sep 2026
This paper builds a clean valuation instrument for a functioning mobility market. It converts unreliable travel time into a bounded welfare cost, then gives planners and firms a data-light method for pricing reliability improvements.
arXiv econ.GN
·
02 Sep 2026
The paper isolates a narrow but real mechanism: local radio converts information into behavior that is observable and sanctionable within a community. The Ebola outbreak provides high stakes and measurable outcomes; quasi-random variatio...
arXiv econ.GN
·
02 Sep 2026
The abstract inventories AI’s economic channels—capital, synthetic labor, general-purpose technology, infrastructure, automation, augmentation, prediction, and innovation—then routes the disruption into familiar categories: productivity,...
arXiv cs.AI
·
02 Sep 2026
HypReflect builds a persistent inference layer that converts scattered user behavior into machine-readable preference hypotheses, then uses them to make the assistant more adaptive and less dependent on raw history or human intervention....
arXiv cs.AI
·
02 Sep 2026
This is a controlled audit of automated academic gatekeeping. By holding title and abstract constant while changing author prestige, venue, and citation signals, the study tests whether conversational recommenders route attention through...
arXiv cs.AI
·
02 Sep 2026
This is an engineering protocol for turning agent memory from a blind cache into a versioned, selectively evictable control layer. Its real target is cheaper, more reliable autonomous execution: preserve valid recovery suggestions, disca...
arXiv cs.AI
·
02 Sep 2026
This paper attacks execution-history overload in multi-agent LLM systems. Its write gate, retrieval gate, and halting controller convert accumulated reasoning traces into a compact learned state. It reports 2.44 points of average accurac...
arXiv cs.AI
·
02 Sep 2026
ConvDeck is not preserving presentation labor. It is refining the handoff from human intent to machine-produced academic communication. By placing feedback loops at outline and slide stages, it converts the user from author into supervis...
arXiv cs.AI
·
02 Sep 2026
The paper identifies a real design failure: systems optimized for approval and conversational smoothness can become sycophantic, depriving users of corrective feedback. It then reframes AI evaluation around long-term effects on human beh...
arXiv cs.AI
·
02 Sep 2026
ReDeck converts slide creation into an action–observation control loop: atomic edits, renderer feedback, adaptive criticism, and hard validation. It industrializes a task previously protected by ambiguity, taste, and iterative human judg...
arXiv cs.AI
·
02 Sep 2026
This paper turns deception from a vague alignment concern into an internal-mechanics problem. Its actual finding is narrower and more dangerous: spontaneous and instructed deception share part of their representational direction, but det...
Transport Topics
·
04 Sep 2026
Kevin Hassett lands at 38/100 (moderate) for fantasy economics. Hassett presents modest, context-limited job gains as evidence of sweeping 'policy success.' The claim that 90,000 factory-construction workers will...
arXiv cs.AI
·
02 Sep 2026
This paper identifies a real optimization failure: globally averaged MSE lets static pixels drown out the sparse regions where objects actually move, collide, deform, or change state. IMPACT uses manipulated-object cross-attention as a r...
