Confección de una ficha terminológica del cambio climático y el efecto invernadero
Bibliographic record
Abstract
Esta presente labor tiene como finalidad presentar la confección de una ficha terminológica que muestra la recopilación de 100 términos de un campo especializado, las ciencias del medio ambiente. Para este estudio, el ámbito considerado es la contaminación de la atmósfera, el cambio climático y efecto invernadero. Se da un esbozo sobre los orígenes de la terminología y su necesidad absoluta en el siglo actual por algunos proponentes más importantes del área. Se proporcionan los procedimientos realizados en este trabajo con fines de dar como resultado una ficha elaborada. Igualmente, se mencionan las fases obligatorias en la elaboración de glosarios, diccionarios y listados especializados tanto como los componentes imprescindibles que se deben tomar en cuenta al momento de crear una ficha terminológica. Luego, se presenta un análisis de los resultados de la fabricación de la ficha mediante tablas y gráficos, y una discusión sobre los resultados obtenidos. Se establecen la importancia y la envergadura de esta investigación para todos los interesados en trabajos de tal carácter. Finalmente, se da una muestra de la ficha terminológica confeccionada a través de la recopilación de dos términos especializados. The objective of this present work is to produce a terminology record that highlights the collection of 100 terms from a specialized field, that is, environmental science. For this study, the area under consideration is air pollution, climate change and the greenhouse effect”. An outline is given, as it relates to the origins of terminology, and its absolute necessity in this century, by some of the leading proponents in this ambit. The procedures performed in this work are also discussed, with the aim of arriving at a compiled record. Mentioned also are the obligatory steps required for the preparation of glossaries, dictionaries and specialized listings, as well as the essential components which must be taken into account when creating a terminology record. An analysis of the results of the created record is then presented by means of tables and graphs, followed by a discussion of the results. The importance and scope of this research are established for all those interested in works of such character. Finally, a sample of 2 specialized terms is given from the compiled glossary.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".