Results 151 to 160 of about 650,140 (247)

Tree diversity is changing across tropical Andean and Amazonian forests in response to global change. [PDF]

Nat Ecol Evol
Fadrique B, Costa F, Cuesta F, Arellano G, Cayuela L, Baker TR, Draper FC, Esquivel-Muelbert A, Ter Steege H, Bauters M, Aguirre-Gutiérrez J, Aguirre-Mendoza Z, Alexiades MN, Alvarez-Davila E, Arets E, Ayala E, Aymard CGA, Baccaro F, Báez S, Baraloto C, Barbosa RI, Barbosa Camargo P, Barlow J, Barni PE, Barroso J, Benchimol M, Bennett AC, Berenguer E, Blanc L, Bonal D, Bongers F, Brienen R, Brown F, Bt Andrade M, Burban B, Burnham RJ, Camargo JL, Carvalho SPC, Castilho C, Chave J, Coelho de Souza F, Comiskey J, da Costa L, de Lima RB, de Oliveira EA, de Oliveira RLC, de Oliveira Perdiz R, De Rutte J, Del Aguila-Pasquel J, Derroire G, Di Fiore A, Disney M, Duque A, Emilio T, Farfan-Rios W, Fauset S, Fearnside PM, Feeley KJ, Feldpausch TR, Ferreira J, Ferreira L, Flores Llampazo GR, Galbraith D, García-Cabrera K, García Criado M, Gloor E, Grandez-Rios JM, Hérault B, Homeier J, Honorio Coronado EN, Huamantupa-Chuquimaco I, Huaraca Huasco W, Huillca-Aedo YT, Idárraga Á, Jadán-Maza O, Kalamandeen M, Killeen TJ, Laurance SGW, Laurance WF, Levesley A, Lopez W, Macía MJ, Magnusson WE, Malhi Y, Manzatto AG, Marimon BS, Marimon Junior BH, Martínez-Villa JA, Medeiros MB, Melgaço K, Melo L, Metzker T, Monteagudo A, Morandi PS, Myers JA, Nascimento HM, Nascimento R, Neill D, Nieto-Ariza B, Palacios WA, Palacios-Ramos S, Pallqui-Camacho NC, Pardo Molina G, Peacock J, Peña MA, Pennington RT, Peñuela MC, Peres CA, Pérez ÁJ, Pickavance GC, Pinto E, Pipoly J, Pitman N, Prieto A, Ramírez-Angulo H, Reis SM, Restrepo Z, Reynel C, Ribeiro S, Rivas-Torres G, Rojas R, Rudas A, Salinas N, Salomão RP, Santana F, Schietti J, Schwartz G, Serrano J, Silman M, Silva C, Silva CA, Silva RC, Silva RSA, Silva-Espejo J, Silveira M, Simon MF, Soto-Shareva YC, Souza PF, Storck-Tonon D, Stropp J, Swamy V, Tello JS, Terborgh J, Thomas R, Torres-Lezama A, Vale JD, Valenzuela Gamarra L, van der Heijden G, van der Hout P, van der Meer PJ, Vasquez Martinez R, Vedovato L, Verbeeck H, Vieira I, Vieira SA, Vilanova E, Vinceti B, Vos VA, Zagt R, Zuidema PA, Phillips OL.   +160 more
europepmc   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Barriers and opportunities to preventing residential bird-window collisions. [PDF]

PLoS One
Lysyk AJV, Khan AI, Conners D, Buxton RT.   +3 more
europepmc   +1 more source

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Perceived Benefits of an Adaptive Tai Chi Program Among Veterans with Ambulatory Limitations. [PDF]

Int J Environ Res Public Health
Simoni Z, Walsh D, Waite L, Herring B, Wilson K, Phuong C, Guo Z.   +6 more
europepmc   +1 more source

Crime generators or social capital organizations? Examining the effects of places of worship on neighborhood crime. [PDF]

PLoS One, 2023
Wo JC.
europepmc   +1 more source

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

Periodical Price Survey 1997: Unsettled Times, Unsettled Prices; the State of the Periodicals Marketplace Mid-Revolution [PDF]

, 1997
Born, Kathleen, Van Orsdel, Lee
core   +1 more source

Furry, Feral, Foe: Temporalizing Heath and Invasion on an English Chalk Stream. [PDF]

J Hist Med Allied Sci
Pearson M.
europepmc   +1 more source

Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley   +1 more source