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Record W7045930665

Construcciones animales: los espacios instintivos de la naturaleza

2021· dissertation· es· W7045930665 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUPM Digital Archive (Technical University of Madrid) · 2021
Typedissertation
Languagees
FieldComputer Science
TopicCloud Computing and Remote Desktop Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseAnimal speciesBiodiversity
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.216
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it