JOURNAL ARTICLE

Bennelong and Phillip: A History Unravelled.

  • Published In: Teaching History (0040-0602), 2026, v. 60, n. 1. P. 77 1 of 3

  • Database: Education Source Ultimate 2 of 3

  • Authored By: Keith, Greg 3 of 3

Abstract

The main focus of the first review is the book *Bennelong and Phillip: A History Unravelled*, which offers a reassessment of the relationship between Bennelong, a leader of the Wangal clan, and Governor Arthur Phillip, leader of the First Fleet in early Sydney. The author employs a reverse chronological narrative and draws on diverse sources to present a nuanced, empathetic account that challenges traditional colonial histories, emphasizing Bennelong’s complexity beyond common stereotypes. While the reverse chronology may complicate understanding for some readers, the book contributes significantly to truth-telling about colonization and Indigenous–British relations, particularly in the context of contemporary debates around the Indigenous Voice to Parliament. The second review discusses *Events that Shaped Australia (5th ed)*, an updated historical overview covering major events from Indigenous migration over 50,000 years ago to contemporary issues like the 2023 Indigenous Voice to Parliament referendum. The book balances coverage of British colonization’s achievements and its impacts on Aboriginal and Torres Strait Islander peoples, and includes social and cultural topics relevant to diverse Australian classrooms. While some terminology may feel outdated, the text offers a broadly inclusive narrative useful for supplementing Australian history curricula, especially in multicultural educational settings. [Extracted from the article]

Additional Information

  • Source:Teaching History (0040-0602). 2026/03, Vol. 60, Issue 1, p77
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2026
  • ISSN:00400602
  • Accession Number:193160514
  • Copyright Statement:Copyright of Teaching History (0040-0602) is the property of History Teachers Association of New South Wales and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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