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Record W4416366189 · doi:10.22329/jtl.v19i5.10251

Laberinto educativo y aprendizaje fake: Tenemos que hablar

2025· article· en· W4416366189 on OpenAlexvenueno aff
Álvaro Albarrán Gutiérrez

Bibliographic record

VenueJournal of Teaching and Learning · 2025
Typearticle
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsCONTESTState (computer science)Public educationHigher educationPublic policy

Abstract

fetched live from OpenAlex

This book review discusses Ramón Espejo Romero's latest publication, a volume that surveys the educational crisis that Spanish public education currently faces. The review situates the book in a larger trend of publications that have recently emerged to contest the current state of affairs in Spanish primary, secondary, and higher education. It provides an overview of the volume's contents, highlighting its contributions to the current academic debate and its approach to the challenges that beset public education not only in Spain but also in the broader Western world. In so doing, the review underscores the volume's interest for a wide international (albeit Spanish-speaking) audience--an audience concerned with the gradual deterioration of academic standards in public settings, and committed to the need to reclaim a high-quality, affordable, and all-inclusive public education for all.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0090.008
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.006

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 head0.007
GPT teacher head0.262
Teacher spread0.255 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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