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“Immunity‐to‐Change Language Technology”: An Educational Tool for Pastoral Leadership Education

2008· article· en· W2083263867 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTeaching Theology & Religion · 2008
Typearticle
Languageen
FieldPsychology
TopicEgo Development and Educational Practices
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsTransformational leadershipPedagogyConstruct (python library)SociologyReflection (computer programming)Educational leadershipCritical reflectionPsychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Abstract. One of the primary aims of pastoral leadership education is to offer reflective processes that enable learners to surface, critique, and construct different epistemological conceptions of reality leading to more effective pastoral practice. In many pastoral leadership education programs, this type of intentional reflection usually takes place in a mentoring or supervisory relationship as well as in a reflective seminar. In this essay, I describe how I have used the “immunity‐to‐change language technology” as one type of reflective process for intentional reflection and transformational learning in pastoral leadership education. The results of my research and ongoing use of this educational tool indicate that it can be valuable for enabling change by helping learners expand their pastoral leadership capacities and become more effective in their practice. Given my findings, I conclude that this educational tool could be of interest to other educators who are seeking to broaden their own repertoire of approaches to transformational learning. A version of this research appears in a forthcoming book by the same author, published by Novalis, in Fall 2008.

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.

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 categoriesnone
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 score0.417
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.098
GPT teacher head0.393
Teacher spread0.295 · 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