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Record W2946049559

Experiencias de Jóvenes Indígenas en la Licenciatura en Educación Indígena, México. Identidad y profesionalización

2017· article· es· W2946049559 on OpenAlexaboutno aff
Yasmani Santana Colin

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousIdentity (music)SociologyIndigenous educationFormative assessmentMetisPedagogyGender studiesDialogical selfPsychologyArtSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

"El presente trabajo busca contribuir, de un lado, a la discusión de la imagen homogénea, que en algunos casos se configura sobre quiénes son y somos los estudiantes indígenas, y por otro, al conocimiento de los retos y desafíos que enfrentamos los jóvenes indígenas en programas académicos. Presento las experiencias educativas de jóvenes provenientes de distintos grupos originarios, hombres y mujeres formados en la Licenciatura en Educación Indígena (LEI) en la Universidad Pedagógica Nacional - Unidad Ajusco, en la Ciudad de México. Y retomo algunas entrevistas realizadas a egresados de la generación 2007-2011 —de la cual formé parte— para examinar qué significa ser un estudiante indígena en la universidad, cuáles son las problemáticas que enfrentan en su proceso de formación, cuáles son las expectativas sobre su formación, cómo son vistos en sus comunidades de origen después de haberse convertido en profesionistas, y si el acceso a la universidad generó pérdida de identidad cultural. Metodológicamente, la investigación se realizó a partir de lo que en los últimos años se ha denominado como trabajo colaborativo o investigación dialógica. Formar parte de esta generación ayudó a entablar distintas conversaciones para tratar los temas antes mencionados."

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0110.006
Open science0.0090.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.148
GPT teacher head0.590
Teacher spread0.441 · 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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

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