Construcciones animales: los espacios instintivos de la naturaleza
Bibliographic record
Abstract
En nuestro planeta existen miles de especies animales que han conseguido adaptarse de un modo u otro a los ecosistemas donde viven. Algunos de ellos, especialmente los más grandes, son capaces de vivir sin necesidad de ningún tipo de refugio. Otros sin embargo dedican mucho tiempo y energía para mejorar sus condiciones de vida y las de su descendencia. Dentro de ese grupo de animales constructores, hay un amplio abanico de especies y soluciones que dan como resultado una gran variedad de nidos y madrigueras que les ayudan a protegerse mejor de los factores climáticos y del ataque de depredadores. En pocas ocasiones se tiene una visión arquitectónica de estas obras creadas por la naturaleza tras millones de años de perfeccionamiento. Este trabajo pretende analizar más en profundidad todo lo que conlleva construir y habitar un nido, seleccionando seis especies de animales diferentes: faisán australiano (Leipoa ocellata), tejedor republicano (Philetairus socius), gorrión molinero (Passer montanus), termita brújula (Amitermes meridionalis), abeja europea (Apis mellifera) y castor canadiense (Castor canadensis). Éstas están distribuidas por la mayor parte del planeta y a día de hoy son un claro ejemplo de supervivencia y adaptación. El ejercicio aborda cuestiones como el proceso constructivo, las condiciones ambientales a las que hacen frente, los materiales utilizados y la modificación de los lugares donde se sitúan. On our planet there are thousands of animal species that have managed to adapt, in one way or another, to the ecosystem where they live. Some of them, especially the biggest ones, are able to live without any need for refuge. However, others invest time and energy to improve their own and their off spring’s living conditions. Within this group of animal architects, exists a wide range of species and resources that results in a great variety of nests and dens providing them better protection against climate factors and predators’ attack. It rarely has an architectonic vision of these works created by nature after millions of years of refi nement. This work aims to analyse in-depth all that involves building and inhabiting a nest by selecting six different species of animals: malleefowl (Leipoa ocellata), republican weaver (Philetairus socius), eurasian tree sparrow (Passer montanus), magnetic termite (Amitermes meridionalis), european bee (Apis mellifera) and canadian beaver (Castor canadensis). These are distributed over the planet and are today a clear example of survival and adaptation. The exercise addresses issues such as the construction process, the environmental conditions they face, the materials used and the modifi cation of the places where they are located.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".