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An 'Educated Heart' and Teaching Practice

2018· article· en· W2941921877 on OpenAlexaff
Colleen Kawalilak, Janet Groen

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCourageLifelong learningExperiential learningPedagogyReflection (computer programming)PsychologyAdult educationTeaching methodSociologyMathematics educationComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

One might refer to this as a simple paper-simple, but not to be interpreted as sub-standard in any lesser or derogatory sense. Rather, what we share is a reflection of sorts, a reflection that draws from our lived experience as lifelong, adult learners and adult educators. In this reflection, we speak ' from' the heart and ' about' the heart- about the interconnectivity of teachers and learners in the teaching-learning dynamic, and about the foundational needs of all members in any learning community to feel valued, validated, significant, and included. Guided by 'heart' in our teaching practice, we aim to illuminate and reclaim the critical importance of ' the relational,' between teacher and learner, in support of a learning community that provides safe and challenging spaces that invite inner exploration, critical reflection, and deep inquiry. Drawing from the words and wisdom of Parker Palmer in The Courage to Teach, we reflect on heartfelt learning moments as lifelong, adult learners and educators. We then extend our reflections by acknowledging the courage it takes and some of the challenges that call forth thoughtful navigation when we open to be guided by an 'educated heart.' We speak to how this courage may provide a pathway to spaces and places of learning where an educated heart may prove to be the most valuable resource that any teacher might develop and be guided by, in support of our own learning and the learning of those we are privileged to journey with along the way.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.447
Teacher spread0.402 · 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 designTheoretical or conceptual
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

Citations2
Published2018
Admission routes1
Has abstractyes

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