Certified into the record
The exact text we saved
This is the version exactly as it was saved, character for character. The SHA-256 hash below is a 64-character code worked out from that text. Run the same text through SHA-256 and you get the same code; change a single letter and the code comes out completely different. Each version also stores the previous version’s hash, which chains them together so no version can be swapped out quietly.
TRUVACE RECORD VERSION record: TRV-2026-2493 version: 1 kind: certified reason: Certified into the record timestamp: 2026-11-12T07:42:32.613303Z status: published lens: p_space sector: labor headline: How AI negative feedback shapes employee appraisals and job crafting dek: Artificial intelligence increasingly delivers workplace performance feedback, but responses to AI-delivered negative feedback remain unclear. Drawing on cognitive appraisal theory, we examine how feedback source is associated with job crafting through challenge and hindrance appraisals and whether these relationships depend on performance goal orientation. Study 1, a scenario experiment with 406 working participants, found that AI-delivered negative feedback elicited stronger challenge appraisal among employees… gain_title: (none) problem_title: In a scenario experiment with 406 workers and a daily study of 280 employees, AI-delivered negative feedback produced stronger hindrance appraisal among those high in performance-avoidance goal orientation. trace_subject: (none) gain_reading: (none) gain_evidence: (none) problem_reading: In a scenario experiment with 406 workers and a daily study of 280 employees, AI-delivered negative feedback produced stronger hindrance appraisal among those high in performance-avoidance goal orientation. problem_evidence: stronger hindrance appraisal among those high in performance-avoidance goal orientation quick_read: Two studies examined how employees respond when artificial intelligence, rather than a person, delivers negative performance feedback. In a scenario experiment with 406 working participants, AI-delivered negative feedback prompted stronger challenge appraisal among employees high in performance-approach goal orientation and stronger hindrance appraisal among those high in performance-avoidance goal orientation. A second study followed 280 employees through 1,953 negative feedback episodes using daily experience sampling and replicated the patterns. The conditional indirect effects on promotion-focused and prevention-focused job crafting were significant in the first study. The authors conclude that AI-delivered negative feedback is neither uniformly constructive nor threatening. Its links with job crafting depend on how employees appraise the feedback and on their goal orientations, which matters as AI increasingly delivers workplace performance feedback. limitation: The first study used a scenario experiment, and the authors describe the findings as associations with job crafting rather than uniform effects of AI feedback. tag: Evidence-backed problem key_points: Study 1 was a scenario experiment with 406 working participants. | Employees high in performance-approach goal orientation showed stronger challenge appraisal of AI-delivered negative feedback. | Employees high in performance-avoidance goal orientation showed stronger hindrance appraisal. | Conditional indirect effects on promotion-focused and prevention-focused job crafting were significant in Study 1. | Study 2 used daily experience sampling of 1,953 negative feedback episodes nested within 280 employees. | Study 2 replicated the Study 1 patterns. rundown: The research draws on cognitive appraisal theory to test how feedback source is associated with job crafting, through challenge and hindrance appraisals, and whether performance goal orientation changes those relationships. Study 1 was a scenario experiment with 406 working participants. AI-delivered negative feedback elicited stronger challenge appraisal among those high in performance-approach goal orientation and stronger hindrance appraisal among those high in performance-avoidance goal orientation, with significant conditional indirect effects on promotion-focused and prevention-focused job crafting. Study 2 was a daily experience sampling study of 1,953 negative feedback episodes nested within 280 employees, and it replicated these patterns. The authors report associations rather than uniform effects, finding AI feedback neither consistently constructive nor threatening. sources: - peer_reviewed | The Service Industries Journal | https://doi.org/10.1080/02642069.2026.2754018 | 2026-11-03 prev: 0000000000000000000000000000000000000000000000000000000000000000
- SHA-256 hash
- 2a25f34fb807dca5338e8f966f349016afbe3094249cbd329a7f387cf981a46f
- Previous version’s hash
- 0000000000000000000000000000000000000000000000000000000000000000
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2493 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.
ace