Sara Kehaulani Goo — Kuleana: A Story of Family, Land, and Legacy in Old Hawai'i - with Niala Boodhoo
Notice bibliographique
Résumé
Music and hula by Halau Nohona Hawai'i . From an early age, Sara Kehaulani Goo was enchanted by her family's land in Hawai'i. The vast area on the rugged shores of Maui's east side--given by King Kamehameha III in 1848--extends from mountain to sea, encompassing ninety acres of lush, undeveloped rainforest jungle along the rocky coastline and a massive sixteenth-century temple with a mysterious past. When a property tax bill arrives with a 500 percent increase, Sara and her family members are forced to make a decision about the property: fight to keep the land or sell to the next offshore millionaire. When Sara returns to Maui from the mainland, she reconnects with her great-uncle Take and uncovers the story of how much land her family has already lost over generations, centuries-old artifacts from the temple, and the insidious displacement of Native Hawaiians by systemic forces. Part journalistic offering and part memoir, Kuleana interrogates deeper questions of identity, legacy, and what we owe to those who come before and after us. Sara's breathtaking story of unexpected homecomings, familial hardship, and fierce devotion to ancestry creates a refreshingly new narrative about Hawai'i, its native people, and their struggle to hold on to their land and culture today. Sara Kehaulani Goo is a journalist and senior news executive who has led several news organizations including Axios , NPR and The Washington Post . She is the former editor-in-chief at Axios, where she launched the company's editorial expansion into national and local newsletters, podcasts and live journalism. Before Axios , she led online audience growth as a managing editor at NPR, overseeing the newsroom's digital news operation. Goo also served as news director at The Washington Post , where she also served as a business editor and reporter. Originally from Dana Point, California, she graduated from the University of Minnesota's journalism school. She lives in Washington, D.C. Goo will be in conversation with Niala Boodhoo , an American journalist, podcast and events host. You can hear her many Fridays on NPR stations hosting the Friday News Roundup on 1A. Currently the founder of Glad You’re Here Productions, she's launched shows for public media and podcasts, including Axios Today and 1 Big Thing, and hosts live news events for organizations that have included Axios, the World Bank, Ascend at the Aspen Institute and the Religion News Service.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,004 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».