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Record W7020309414

Los ambientes de aprendizajes modernos: un componente pertinente para favorecer los procesos de inclusión en el CDI Fe y Alegría Madre Alberta de la ciudad Santiago de Cali.

2020· article· en· W7020309414 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInclusive Education and Diversity
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Order (exchange)Reflection (computer programming)Quality (philosophy)Process (computing)AssertivenessCarry (investment)
DOInot available

Abstract

fetched live from OpenAlex

The denied education to doubt is an one belonging to the tools arranged to the human being to transform and to change all that meets to his around. And in order that the aforementioned transformations take place to end, it is necessary to do use of some facilitators at the educational institutions that the persons in charge to propose and to carry to end changes that match above and beyond simple improvements and in its step will be make new roads to attain goals jointly. To begin with this journey is important to understand that they form these new roads in innovative proposals than, with the adequate use theirs become in the propitious environments to develop the processes of inclusion, it is the same way that in the present I articulate of reflection will examine him how the environments of modern learning’s are a pertinent component to favor the processes of inclusion in the CDI Fe y Alegría Madre Alberta of Santiago de Cali City. For it, one will have in account the invention like an assertive bet to transform what's existent; The inclusion taken care of from different policies and programs that they watch over to guarantee the fulfillment of some conditions and contexts made suitable, that they establish measures and tools in behalf of quality and equity.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.193
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.031
Scholarly communication0.0150.003
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.304
Teacher spread0.289 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

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Same venueDialnet (Universidad de la Rioja)Same topicInclusive Education and DiversityFrench-language works237,207