This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Morten G. Ender, Ryan Kelty, and Irving Smith's article entitled, 'Sociology at West Point'.

All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research.

The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies.

Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work.

The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences.

All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Author Zeke Baker discusses the book, Governing Climate: How Science and Politics Have Shaped Our Environmental Future, reviewed in the May 2026 issue of Contemporary Sociology by Christopher M. Rea.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Richard T. Cooney, Jr., Mady Wechsler Segal, David R. Segal, and William W. Falk's article entitled, 'Racial Differences in the Impact of Military Service on the Socioeconomic Status of Women Veterans'.

All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research.

The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies.

Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work.

The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences.

All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of David R. Segal and John D. Blair's article entitled, 'Public Confidence in the U.S. Military'.

All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research.

The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies.

Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work.

The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences.

All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Ori Swed, Aria Stiefelmaier, and Oleksandra Hanchukova's article entitled, 'Motivated to Fight: Diverse Motivations of Foreign Fighters in the Russia–Ukraine War'.

All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research.

The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies.

Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work.

The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences.

All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.

Author Jennifer Ashlock discusses the article, "Unequal Pathways: Family Background and Youth Computing Aspirations" published in Socius: Sociological Research for a Dynamic World.

Author Chloe Grace Hart discusses the article, "Negotiating Competing Sexual Rights: The Unwritten, Fragmented Norms for Making Romantic Advances in the Workplace," published in the May 2026 issue of Sex & Sexualities.

This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Mady Wechsler Segal's article entitled, 'The Military and the Family as Greedy Institutions Then and Now'.

All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research.

The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies.

Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work.

The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences.

All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.