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Record W2506124399 · doi:10.1108/cdi-01-2016-0010

Mentoring the morally courageous: a relational cultural perspective

2016· article· en· W2506124399 on OpenAlexaff
Sheldene Simola

Bibliographic record

VenueCareer Development International · 2016
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsCourageMoral couragePsychologyPsychological resilienceVitalitySocial psychologyMoral injurySociologyLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to elucidate the implications of relational cultural theory (RCT) for mentoring individuals who have enacted moral courage. Design/methodology/approach Overviews of the construct of moral courage, the nature of work-related mentoring and RCT are provided. Subsequently, the relevance and implications of RCT for understanding moral courage-related suffering, and for supporting the growth, resilience and vitality of those who have enacted moral courage are discussed. Findings Within RCT, moral courage-related suffering is located in disconnection, invalidation and isolation for which sufferers also feel held at fault. Self-protective behaviors, including disavowal of self, can perpetuate this suffering. Practical implications Five insights from RCT for supporting the growth, resilience and vitality of individuals following acts of moral courage are elaborated, including affirming efforts to activate supportive relationships; demonstrating “radical respect”; facilitating voice; engaging through mutuality and fluid expertise; and, reframing resilience. Social implications The dearth of attention to ways of supporting those who suffer following acts of moral courage reflects previously documented findings about the short-shrift given to issues of human health and sustainability in organizations and organizational research. Implications for policy, practice and education are described. Originality/value This paper extends the RCT perspective in mentoring, and addresses an important gap in the moral courage literature, namely, the identification of a theoretically grounded approach through which to support the growth, resilience and vitality of individuals who have enacted moral courage.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.109
GPT teacher head0.331
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations14
Published2016
Admission routes1
Has abstractyes

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