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Žebračenka

Žebračenka nebo almuženka nebo almužní poukázka byla v Československu od roku 1927 poukázka na stravu či oděv. Byla určená pro nezaměstnané a sociálně slabé, kteří ji dostávali od státu místo peněz, které by mohli promrhat. Termín žebračenka se začal znovu používat i v České republice, kde jsou takto slangově nazývány poukázky na nakoupení základních…

Historie, Současnost & Odkazy

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Topic orientation

Žebračenka at a glance

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Topics to explore

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Overview

Historie

Současnost

Odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

poukázky potravin práce mohli sociálně československu nezaměstnané jako ministerstvo sociální přidělování úřad poukázkami příjemci zboží lze poukázek roku dostávali jsou

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Map overview Semantic statistics

    Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

    Žebračenka

    Nodes38
    Edges37
    Triples0
    Avg. degree1.95
    Density0.052632
    Components1
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