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1. Shard Calculation

Query:
Response:
Calculated Shard: 185 (from laksa020)

2. Crawled Status Check

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Response:

3. Robots.txt Check

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4. Spam/Ban Check

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5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍
LOCATION
Host 185 · Partition 82
laksa185
16229434317321816585
📄
INDEXABLE
CRAWLED
7 days ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH0.2 months ago
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://www.nber.org/papers/w32082
Last Crawled2026-05-27 11:58:30 (7 days ago)
First Indexed2024-01-29 06:22:02 (2 years ago)
HTTP Status Code200
Content
Meta TitleHelp for the Heartland? The Employment and Electoral Effects of the Trump Tariffs in the United States | NBER
Meta DescriptionFounded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, and business professionals.
Meta Canonicalnull
Boilerpipe Text
heavy column, fetched on demand
Markdown
heavy column, fetched on demand
Readable Markdown
heavy column, fetched on demand
ML Classification
ML Categories
/Law_and_Government
60.3%
/Finance
59.2%
/Law_and_Government/Government
41.9%
/Law_and_Government/Government/Public_Policy
38.3%
/Finance/Financial_Planning_and_Management
30.9%
/Finance/Financial_Planning_and_Management/Other
19.9%
/News
14.8%
/People_and_Society
14.6%
/News/Politics
11.3%
/People_and_Society/Social_Sciences
10.8%
Raw JSON
{
    "/Law_and_Government": 603,
    "/Finance": 592,
    "/Law_and_Government/Government": 419,
    "/Law_and_Government/Government/Public_Policy": 383,
    "/Finance/Financial_Planning_and_Management": 309,
    "/Finance/Financial_Planning_and_Management/Other": 199,
    "/News": 148,
    "/People_and_Society": 146,
    "/News/Politics": 113,
    "/People_and_Society/Social_Sciences": 108
}
ML Page Types
/Article
93.5%
/Article/Study_or_Research_Findings
79.6%
Raw JSON
{
    "/Article": 935,
    "/Article/Study_or_Research_Findings": 796
}
ML Intent Types
Informational
99.9%
Raw JSON
{
    "Informational": 999
}
Content Metadata
Languageen
Authornull
Publish Time2024-01-25 12:00:00 (2 years ago)
Original Publish Time2024-01-25 12:00:00 (2 years ago)
RepublishedNo
Word Count (Total)1,058
Word Count (Content)164
Links
External Links13
Internal Links130
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedYes
Redirect Targetnull
Performance
Download Time (ms)599
TTFB (ms)589
Download Size (bytes)23,174
Location
Host ID185 (laksa185)
Partition ID82
Root Hash16229434317321816585
Unparsed URLorg,nber!www,/papers/w32082 s443