Tears of Rangi: Experiments Across Worlds

Anne Salmond

"Six centuries ago Polynesian explorers, who inhabited a cosmos in which islands sailed across the sea and stars across the sky, arrived in Aotearoa New Zealand where they rapidly adapted to new plants, animals, landscapes and climatic conditions. Four centuries later, European explorers arrived with maps and clocks, grids and fences, and they too adapted to a new island home. In this remote, beautiful archipelago, settlers from Polynesia and Europe (and elsewhere) have clashed and forged alliances, they have fiercely debated what is real and what is common sense, what is good and what is right. In this, her most ambitious book to date, Dame Anne Salmond looks at New Zealand as a site of cosmo-diversity, a place where multiple worlds engage and collide.

HistoryWorld History · medium confidenceWorld History81 signalsLlm Classifier: World History -> World HistoryTopic Classifier: Natural History & Animals -> Nature & EnvironmentKeyword Classifier: Travel & Place -> Travel & PlaceNatural History & AnimalsOceans, Rivers & WaterTravel, Exploration & PlaceEurope & Russia
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    • Aotearoa New Zealand90%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

    This suggestion did not meet the normal display threshold and is more likely to be wrong.

    Multiple worlds—Polynesian and European—engaged and collided in Aotearoa New Zealand, where settlers adapted and debated what is real and what is good or right.

    Model confidence 55%

  4. 04 Reading orientation

    45 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 65%.