LLM Job #13845 - score_story_relevance
Conversation
You are a financial news analyst. Rate news stories based on their relevance to serious business and investment decision-making.
Rate this news story's relevance for investors and business professionals who manage investment portfolios and need to make informed decisions. This is ONE news story covered by MULTIPLE news sources. The titles below are from different outlets (Reuters, Bloomberg, CNBC, etc.) all reporting on the SAME business event. Rate the overall story's relevance. Article Titles: 1. Employers have cut 1.1 million jobs this year. Here's what's behind the wave of layoffs.. 2. Layoff announcements this year top 1.1 million, the most since 2020 when pandemic hit, Challenger says 3. Companies make 71,000 layoffs in worst November since 2022 4. US layoffs soar past 1.1M in 2025, highest level since the pandemic 5. US job cuts down 54% in November, but 'forever layoffs' worry workers 6. The first step workers should take after a layoff, as job losses soar Scoring Guidelines: - 9-10: Critical business news (earnings reports, Fed decisions, major M&A, sector-wide impact, regulatory changes) - 7-8: Important analysis (market trends, analyst insights, significant company developments, economic indicators) - 5-6: Relevant news (notable company announcements, industry developments, financial performance) - 3-4: Minor business news (routine updates, small moves, tangential business stories) - 1-2: Fluff/entertainment (celebrity CEO drama, viral marketing, cultural controversies, consumer complaints) High-value examples: - "Wall Street Sentiment on AI Companies Shifts as Earnings Disappoint" (9-10) - "Federal Reserve Minutes Reveal Concerns About Inflation Persistence" (9-10) - "Apple Supplier Cuts Production by 20% Amid Weak iPhone Demand" (8-9) - "Banking Sector Faces Regulatory Scrutiny After Failed Stress Tests" (8-9) Low-value examples: - "Starbucks Cup Design Sparks Outrage on Social Media" (1-2) - "CEO's Dog Makes Appearance at Company Event" (1-2) - "Company Changes Office Snack Selection" (1-2)
{
"explanation": "This news story cluster reports on a significant and recurring labor market trend: a sharp rise in U.S. job layoffs, with over 1.1 million job cuts recorded in 2025—marking the highest level since the pandemic. Multiple credible sources (Reuters, Bloomberg, CNBC) confirm the data, with consistent metrics and trends. The scale of layoffs—especially the spike in November and the mention of 'forever layoffs'—indicates a systemic shift in corporate hiring and workforce management. This is not isolated or anecdotal; it reflects a macroeconomic signal with implications for consumer spending, labor market resilience, sector-specific employment, and potential impact on GDP and inflation. For investors and portfolio managers, such data is crucial for assessing sector exposure (e.g., tech, finance, retail), evaluating consumer demand risks, and adjusting asset allocation. The trend also informs expectations for Federal Reserve policy, given labor market strength historically influencing rate decisions. While not a single event like an earnings report or M\u0026A, the aggregate data on job cuts constitutes a high-impact economic indicator.\n\nTherefore, the relevance is high—this is not just a headline about job losses but a signal of broader economic and investment risk. The data informs decisions on equity allocations, sector rotation, bond yields, and hedging strategies. It aligns with the category of 'important analysis' due to its macroeconomic significance and implications for market direction.",
"score": 8
}Debug Information
▶ Structured Output Schema (JSON Schema)
{
"json_schema": {
"description": "Business relevance score for a news story",
"name": "story_relevance",
"schema": {
"additionalProperties": false,
"properties": {
"explanation": {
"description": "1-2 sentence explanation of the score",
"type": "string"
},
"score": {
"description": "Relevance score (1-10)",
"maximum": 10,
"minimum": 1,
"type": "integer"
}
},
"required": [
"score",
"explanation"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
}▶ Token Usage & Performance
{
"completion_tokens": 306,
"predicted_ms": 0,
"prompt_ms": 0,
"prompt_tokens": 507,
"total_tokens": 813
}▶ Context & Parameters (Full JSON)
{
"article_count": 6,
"explanation": "This news story cluster reports on a significant and recurring labor market trend: a sharp rise in U.S. job layoffs, with over 1.1 million job cuts recorded in 2025—marking the highest level since the pandemic. Multiple credible sources (Reuters, Bloomberg, CNBC) confirm the data, with consistent metrics and trends. The scale of layoffs—especially the spike in November and the mention of 'forever layoffs'—indicates a systemic shift in corporate hiring and workforce management. This is not isolated or anecdotal; it reflects a macroeconomic signal with implications for consumer spending, labor market resilience, sector-specific employment, and potential impact on GDP and inflation. For investors and portfolio managers, such data is crucial for assessing sector exposure (e.g., tech, finance, retail), evaluating consumer demand risks, and adjusting asset allocation. The trend also informs expectations for Federal Reserve policy, given labor market strength historically influencing rate decisions. While not a single event like an earnings report or M\u0026A, the aggregate data on job cuts constitutes a high-impact economic indicator.\n\nTherefore, the relevance is high—this is not just a headline about job losses but a signal of broader economic and investment risk. The data informs decisions on equity allocations, sector rotation, bond yields, and hedging strategies. It aligns with the category of 'important analysis' due to its macroeconomic significance and implications for market direction.",
"finish_reason": "stop",
"google_story_id": 12785,
"max_tokens": 2000,
"relevance_score": 8,
"response_format": "json_schema",
"response_format_details": {
"json_schema": {
"description": "Business relevance score for a news story",
"name": "story_relevance",
"schema": {
"additionalProperties": false,
"properties": {
"explanation": {
"description": "1-2 sentence explanation of the score",
"type": "string"
},
"score": {
"description": "Relevance score (1-10)",
"maximum": 10,
"minimum": 1,
"type": "integer"
}
},
"required": [
"score",
"explanation"
],
"type": "object"
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},
"temperature": 0
}