Diseño y desarrollo de un catálogo web para la gestión de voluntariados utilizando React
Bibliographic record
Abstract
El voluntariado desempeña un papel fundamental en la transformación y mejora de comunidades y grupos vulnerables. Sin embargo, la gestión eficiente de los procesos relacionados con la organización y participación en voluntariados puede resultar desafiante. Este proyecto se enfoca en el diseño y desarrollo de una página web dedicada a la gestión de voluntariados, con el objetivo de promover el cambio social y maximizar la eficacia de estas acciones altruistas. La página web, Voluntix, proporcionará una plataforma interactiva y fácil de usar, donde los voluntarios podrán encontrar oportunidades de servicio acorde a sus intereses y habilidades. Además, las organizaciones y proyectos de voluntariado podrán dar a conocer sus programas. Esta conexión directa facilitará la colaboración entre ambos grupos y garantizará una mejor alineación de los recursos disponibles con las necesidades reales de la comunidad. Al finalizar el proyecto, se espera que la página web proporcione una solución eficiente y efectiva para la organización y participación en actividades de voluntariado. Esta plataforma digital ofrecerá una oportunidad única para que las personas encuentren su propósito y contribuyan de manera tangible a la construcción de un mundo más justo y equitativo. Abstract: Volunteering plays a fundamental role in the transformation and improvement of communities and vulnerable groups. However, efficient management of processes related to organizing and participating in volunteer work can be challenging. This project focuses on the design and development of a dedicated website for volunteer management, with the aim of promoting social change and maximizing the effectiveness of these altruistic actions. The website, Voluntix, will provide an interactive and user-friendly platform where volunteers can find opportunities that align with their interests and skills. Additionally, organizations and volunteer projects will be able to showcase their volunteer programs. This direct connection will facilitate collaboration between both groups and ensure better alignment of available resources with the real needs of the community. Upon completion of the project, it is expected that the website will provide an efficient and effective solution for organizing and participating in volunteer activities. This digital platform will offer a unique opportunity for individuals to find their purpose and contribute tangibly to the construction of a fairer and more equitable world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".