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Record W6893821696 · doi:10.5281/zenodo.4751833

Las dos caras del Xoloitzcuintle, revalorización de un perro diferente: 'Escuincles y Xoloitzcuintles', divulgación entre el público infantil

2020· article· es· W6893821696 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and History
Canadian institutionsCentre for Excellence in Mining Innovation
Fundersnot available
KeywordsMythologyValue (mathematics)EmpathyAesthetic value

Abstract

fetched live from OpenAlex

l perro pelón mexicano ha compartido la existencia con el ser humano desde la época precolonial. Haciendo una revisión de las fuentes etnohistóricas, arqueológicas e históricas se manifiesta una necesaria puesta en valor que ayude a desterrar mitos sobre un animal de apariencia dual, existiendo ejemplares con y sin pelo. Sobre bases empíricas, a través de un sondeo realizado en el Colegio Pier Faure (La Piedad, Michoacán), hemos desarrollado una propuesta preliminar de divulgación para el público infantil. Mediante una actividad lúdico-formativa se persigue establecer lazos de empatía hacia este patrimonio vivo, entre niños y niñas de 5 a 12 años.<br> The Mexican hairless dog has shared its existence with humans since precolonial times. Making a review of data from historical records, archaeology and history, we have seen the need to enhancing the value of this animal which has a dual appearance. We can find dogs with or without hair. This characteristic makes them a prey of myths and misinterpretations. We have developed a divulgation strategy for children's audience (5-12 years old), upon the empiric bases offered by a survey in Colegio Pier Faure Faure (La Piedad, Michoacán). Through ludic-formative activities we would like to support our main objective: to establish empathy ties with this living heritage.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.624
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0090.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.013

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 head0.028
GPT teacher head0.263
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicIndigenous Cultures and HistoryFrench-language works237,207