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Record W4241465167 · doi:10.29173/pandpr19825

Pedagogical Recognition

2010· article· en· W4241465167 on OpenAlexvenueno aff
Raquel Ayala-Carabajo

Bibliographic record

VenuePhenomenology & Practice · 2010
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPower (physics)Action (physics)Embodied cognitionTransformational leadershipIntentionalityPedagogySocial psychologyEpistemologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Pedagogical activity, be it of parents or teachers, continuously requires us to meet children's and youngsters' deep ethical needs. In our daily relationships with them, recognition is one of the most frequent and essential ingredients of our educational activity. But, what does being recognized mean? When does this everyday practice become genuinely pedagogical? This phenomenological inquiry explores pedagogical recognition, an experience of an essentially ethical sense. Through our words, actions, decisions, etc., we offer children and young people effective learning experiences about what is good and right in our human world. Moreover, genuine recognition allows us to discover the personal worth and uniqueness of every child and young person entrusted to us. Recognition deals with the very being of people revealed through their capabilities in action. In this experience, the educator plays the decisive role. Thanks to our pedagogical responsibility and influence, we have the power to recognize; a power that has been given to us by the child and that can be observed when the transformational effect of recognition occurs. Pedagogical authority is the foundation of recognition as well as educational intentionality. The pedagogical significance of this practice requires every educator to evaluate and to improve the ways of doing this effectively, especially by thinking carefully about every person's singularity and by developing awareness of our ethical personality and our embodied language. It may lead us to being recognition.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0070.006
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0250.010

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 head0.155
GPT teacher head0.392
Teacher spread0.237 · 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 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".

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Citations2
Published2010
Admission routes1
Has abstractyes

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