Carolina Jiménez-Arteaga
Biographic Data
| ID | 6552806 |
|---|---|
| NAME | Carolina Jiménez-Arteaga |
| GIVEN NAMES | Carolina |
| FAMILY NAME | Jiménez-Arteaga |
| SIGNATURE | JIMÉNEZ-ARTEAGA C |
| AFFILIATIONS | Universitat Pompeu Fabra |
| ORCID | 0000-0003-0003-4449 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Plant processing and foodways in the Pastoral Neolithic
Pastoralism has long been conceptualized as an animal-centered lifeway, with plants treated as marginal or ancillary resources. This is particularly true in Africa where rich ethnographic records of present-day pastoralism and scant archaeobotanical evidence have combined to create a focus on livestock in the archaeological record. This study challenges that perspective by demonstrating that plant use formed an integral component of Pastoral Neol…
Experts against automation? Comparing artificial intelligence and human identifications of multi-cell cereal husk phytoliths
This study compares the efficacy of a deep learning-based computer vision model against manual expert identification of multi-cell husk phytoliths from wheat ( Triticum boeticum/dicoccoides ), barley ( Hordeum spontaneum ), and oats ( Avena sativa ). Conducted via an online survey in 2024 with twelve respondents (92% completion rate, one respondent did not finish), the survey presented 18 phytolith images selected based on: 1) deep learning perfo…
Comparable quantification methodologies in archaeobotany – a work-in-progress and debate
The way archaeobotanists name and quantify seed fragments is a determinant step not only in the interpretation of a given macrobotanical assemblage, but also in the degree of comparability across different sites. However, seed terminology and quantification have yet not been standardised among scholars but rely on the various geographical and laboratory traditions, as well as specific research needs and circumstances. This has created two major b…
Comparable quantification methodologies in archaeobotany – a work-in-progress and debate
The way archaeobotanists name and quantify seed fragments is a determinant step not only in the interpretation of a given macrobotanical assemblage, but also in the degree of comparability across different sites. However, seed terminology and quantification have yet not been standardised among scholars but rely on the various geographical and laboratory traditions, as well as specific research needs and circumstances. This has created two major b…
Comparable quantification methodologies in archaeobotany – a work-in-progress and debate
The way archaeobotanists name and quantify seed fragments is a determinant step not only in the interpretation of a given macrobotanical assemblage, but also in the degree of comparability across different sites. However, seed terminology and quantification have yet not been standardised among scholars but rely on the various geographical and laboratory traditions, as well as specific research needs and circumstances. This has created two major b…
Plant processing and foodways in the Pastoral Neolithic
Pastoralism has long been conceptualized as an animal-centered lifeway, with plants treated as marginal or ancillary resources. This is particularly true in Africa where rich ethnographic records of present-day pastoralism and scant archaeobotanical evidence have combined to create a focus on livestock in the archaeological record. This study challenges that perspective by demonstrating that plant use formed an integral component of Pastoral Neol…
Experts against automation? Comparing artificial intelligence and human identifications of multi-cell cereal husk phytoliths
This study compares the efficacy of a deep learning-based computer vision model against manual expert identification of multi-cell husk phytoliths from wheat ( Triticum boeticum/dicoccoides ), barley ( Hordeum spontaneum ), and oats ( Avena sativa ). Conducted via an online survey in 2024 with twelve respondents (92% completion rate, one respondent did not finish), the survey presented 18 phytolith images selected based on: 1) deep learning perfo…
Archaeology and ancient environmental studies (3 works) · Phytolith (2 works) · Agriculture (1 work) · Amazonian Archaeology and Ethnohistory (1 work) · Archaeological record (1 work) · Archaeology (1 work) · Archaeology and Rock Art Studies (1 work) · Biology (1 work) · Comparability (1 work) · Computer Science (1 work)