▸case-01 I'm reviewing Bandura's Social Learning Theory regarding aggressive behavior in children. Core claim: Exposure to violent adult role models increases adolescent aggressive behavior because it lowers inhibitions and normalizes physical conflict as a problem-solving strategy. Could you extract the causal mechanisms from this theory text into a structured JSON format? I want to see the cause, intermediate mediator, final outcome, source theory name, direction of impact, and any relevant notes. | fail→pass | 21,075 | 11,509 | -45% | 1 | 1 | 0% | 1,118 | 1,595 | +43% | 0 | 0 | — |
▸case-02 Here are two management theories I'm analyzing for a literature review:
1. Psychological Safety Theory: When leaders encourage open dialogue, team members feel safe taking interpersonal risks, which boosts overall team innovation.
2. Goal Setting Theory: Assigning specific, challenging goals increases employee task focus, which ultimately enhances job performance.
Please parse these theory descriptions and map out their underlying causal chains into a structured JSON list detailing the core cause, mediating variables, outcome, theory source, and direction. | fail→pass | 11,089 | 20,095 | +81% | 1 | 1 | 0% | 1,168 | 1,681 | +44% | 0 | 0 | — |
▸case-03 Please analyze this physiological theory description: 'Chronic stress triggers prolonged activation of the HPA axis, resulting in elevated cortisol levels. Elevated cortisol subsequently impairs hippocampal neurogenesis, which ultimately causes cognitive decline in aging adults.' Extract the causal mechanisms from this text into a JSON schema that breaks down the root cause, mediator variable, final effect, source theory name, and relational direction. | fail→pass | 16,469 | 25,344 | +54% | 1 | 1 | 0% | 2,367 | 2,405 | +2% | 0 | 0 | — |
▸case-16 Williamson's Transaction Cost Economics claims high asset specificity increases opportunism risk in open markets, which drives firms to vertically integrate production. Core claim: Asset specificity dictates governance choice. Extract the causal JSON mechanism. | pass→pass | 31,786 | 38,552 | +21% | 1 | 1 | 0% | 1,252 | 1,971 | +57% | 0 | 0 | — |
▸case-04 I have a concept called 'General Wellness Theory' that states 'people feel better when things are good'. Core claim: Wellness improves when conditions are optimal. Can you turn this into a causal mechanism JSON breakdown? | fail→pass | 11,992 | 21,819 | +82% | 1 | 1 | 0% | 2,165 | 1,094 | -49% | 0 | 0 | — |
▸case-05 In Davis's Technology Acceptance Model (TAM), perceived ease of use directly increases perceived usefulness, which subsequently boosts user intention to adopt new software systems. Core claim: System design features drive adoption through cognitive attitude shifts. Please format this into structured mechanism records. | fail→pass | 30,660 | 12,132 | -60% | 1 | 1 | 0% | 2,334 | 1,860 | -20% | 0 | 0 | — |
▸case-06 According to Classical Deterrence Theory in criminology, increasing the certainty and severity of legal punishment raises the perceived cost of crime, which reduces criminal offense rates among potential offenders. Core claim: Higher sanctions deter illegal conduct. Extract the causal pathway in JSON format. | fail→pass | 24,686 | 24,726 | +0% | 1 | 1 | 0% | 1,407 | 1,472 | +5% | 0 | 0 | — |
▸case-07 Consider the Dunning-Kruger effect: low expertise in a domain prevents individuals from accurately evaluating their own skill, leading to inflated self-assessment. Core claim: Metacognitive deficit causes overestimation of competence. Convert this theory into structured mechanism output. | fail→pass | 20,999 | 13,744 | -35% | 1 | 1 | 0% | 2,747 | 2,008 | -27% | 0 | 0 | — |
▸case-08 Fredrickson's Broaden-and-Build Theory posits that experiencing positive emotions expands an individual's momentary thought-action repertoire, which over time builds enduring personal psychological resilience. Core claim: Positive affect drives long-term coping capacity. Produce the mechanism JSON structure. | fail→pass | 30,011 | 13,027 | -57% | 1 | 1 | 0% | 1,778 | 1,908 | +7% | 0 | 0 | — |
▸case-09 Festinger's Cognitive Dissonance Theory states that holding contradictory beliefs creates psychological discomfort, which motivates individuals to alter their secondary attitudes to restore cognitive consistency. Core claim: Inconsistency drives attitude change. Map this out in structured mechanism JSON format. | fail→fail | 23,990 | 12,996 | -46% | 1 | 1 | 0% | 2,181 | 1,672 | -23% | 0 | 0 | — |
▸case-10 Theory: Stage Theory of Behavior. Core claim: People change over time in stages. Please extract the JSON mechanism variables for this theory. | fail→fail | 28,765 | 23,868 | -17% | 1 | 1 | 0% | 1,735 | 1,746 | +1% | 0 | 0 | — |
▸case-11 Granovetter's Strength of Weak Ties theory asserts that weak social connections provide access to novel non-redundant labor market information, which increases an individual's probability of securing high-paying job offers. Core claim: Weak ties enhance employment outcomes. Output structured mechanism JSON. | fail→pass | 15,410 | 18,439 | +20% | 1 | 1 | 0% | 1,750 | 1,993 | +14% | 0 | 0 | — |
▸case-21 Please write APA 7th edition reference list entries and in-text parenthetical citations for Bandura's 1977 Psychological Review article titled 'Self-efficacy: Toward a unifying theory of behavioral change' published in volume 84, issue 2, pages 191-215. | pass→fail | 11,338 | 13,739 | +21% | 1 | 1 | 0% | 1,273 | 1,337 | +5% | 0 | 0 | — |
▸case-12 Vroom's Expectancy Theory holds that an employee's effort increases when they believe effort leads to performance (expectancy) and performance leads to desired rewards (instrumentality). Core claim: Anticipated reward outcome motivates effort. Format the causal pathways into JSON mechanism records. | fail→pass | 36,819 | 42,940 | +17% | 1 | 1 | 0% | 3,292 | 2,033 | -38% | 0 | 0 | — |
▸case-13 Self-Determination Theory argues that supporting workplace autonomy satisfies basic psychological needs, which subsequently fuels intrinsic motivation and work engagement. Core claim: Autonomy support enhances autonomous motivation. Structure this into JSON mechanism data. | fail→pass | 12,348 | 12,952 | +5% | 1 | 1 | 0% | 1,424 | 1,835 | +29% | 0 | 0 | — |
▸case-14 The Capital Asset Pricing Model (CAPM) asserts that higher non-diversifiable market risk (beta) increases required asset returns because risk-averse investors demand compensation for exposure to systemic volatility. Core claim: Systemic risk drives expected security returns. Convert to structured causal mechanism JSON. | pass→pass | 29,115 | 12,518 | -57% | 1 | 1 | 0% | 1,494 | 1,840 | +23% | 0 | 0 | — |
▸case-15 Petty and Cacioppo's Elaboration Likelihood Model states that high personal relevance increases cognitive message elaboration, leading to durable attitude change via the central route. Core claim: Involvement deepens message processing. Parse this theoretical mechanism into JSON. | fail→pass | 36,507 | 11,904 | -67% | 1 | 1 | 0% | 1,770 | 1,662 | -6% | 0 | 0 | — |
▸case-17 Mullainathan and Shafir's Scarcity Theory posits that resource scarcity imposes mental bandwidth load, which impairs executive cognitive control and leads to sub-optimal short-term decision making. Core claim: Scarcity consumes mental bandwidth. Generate structured JSON mechanisms. | pass→pass | 41,983 | 31,165 | -26% | 1 | 1 | 0% | 3,032 | 1,807 | -40% | 0 | 0 | — |
▸case-18 Hyperbolic Discounting Theory suggests that present bias causes heavy discounting of delayed rewards, leading to time-inconsistent preferences and immediate impulse spending. Core claim: Present bias drives short-term gratification choices. Structure this theory into a JSON mechanism list. | fail→pass | 14,426 | 16,508 | +14% | 1 | 1 | 0% | 1,835 | 1,473 | -20% | 0 | 0 | — |
▸case-19 The Affect Heuristic theory states that positive emotional reaction to a technology decreases perceived risk while increasing perceived benefit, leading to greater public acceptance. Core claim: Emotional affect dictates dual perception of risk and benefit. Extract the mechanisms into JSON format. | pass→pass | 6,429 | 12,204 | +90% | 1 | 1 | 0% | 1,352 | 1,505 | +11% | 0 | 0 | — |
▸case-20 I am conducting a quantitative meta-analysis on 15 studies examining study habits and exam scores. Average Cohen's d is 0.45. Can you compute the required sample size per group needed to achieve 80% statistical power at alpha = 0.05? | pass→fail | 16,659 | 10,466 | -37% | 1 | 1 | 0% | 2,302 | 1,266 | -45% | 0 | 0 | — |
▸case-22 Construct a system of ordinary differential equations (ODEs) modeling predator-prey dynamics using Lotka-Volterra equations, where x represents hare population and y represents lynx population with growth rate alpha and predation rate beta. | pass→fail | 13,084 | 15,733 | +20% | 1 | 1 | 0% | 1,595 | 3,487 | +119% | 0 | 0 | — |