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Record W2045885251 · doi:10.4102/hsag.v15i1.457

The systems psychodynamic leadership coaching experiences of nursing managers

2010· article· en· W2045885251 on OpenAlexaff
Frans Cilliers, Landa Terblanche

Bibliographic record

VenueHealth SA Gesondheid · 2010
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsPsychologyUnconscious mindCoachingPsychodynamicsExperiential learningCognitive reframingIdentity (music)DelegationSocial psychologyPedagogyPsychotherapistPsychoanalysisManagement

Abstract

fetched live from OpenAlex

The mostly linear and mechanistic nature of the nursing manager role is rapidly becoming more dynamic and systemic. The change involves task and people management within a constantly changing organisational identity, taking up multiple leadership roles, having to authorise oneself and others in a complex matrix system, and managing conscious and unconscious psychological boundaries within and between conflicting systems. The aim of this study was to describe the systems psychodynamic learning experiences of nursing managers during leadership coaching. The coaching task was to provide learning opportunities to the individual leader, towards gaining insight into conscious and unconscious leadership dynamics in terms of anxiety, task, role, authorisation, boundaries and identity. A qualitative research design was used. Six nursing managers attended ten leadership coaching sessions over ten weeks. Field notes and reflective essays were analysed using systems psychodynamic discourse analysis. The findings indicated clarity and authorisation in the participants’ primary task and normative roles; anxiety and de-authorisation in their experiential and phenomenal roles; anxiety in boundary management related to the misuse of power by others; and the continuous exploration of their leadership role identity towards achieving integration. Participants’ learning experiences were evaluated in terms of criteria for organisational learning, after which a general hypothesis was formulated.OpsommingDie meestal liniêre en meganistiese aard van die verpleegbestuursrol is vinnig besig om na ’n meer dinamiese en sistemiese rol te verander. Die verandering behels taak- en mensbestuur binne 'n steeds veranderende organisasie-identiteit, waar 'n verskeidenheid rolle opgeneem word, die self en ander in 'n komplekse matrikssisteem bemagtig word, en waartydens bewuste en onbewuste sielkundige grense in en tussen botsende sisteme bestuur word. Die doel van hierdie studie was om die sisteem-psigodinamiese leerervaringe van verpleegbestuurders tydens leierskapafrigting te beskryf. Die afrigtingstaak was om leergeleenthede aan die individuele leier beskikbaar te stel vir die ontwikkeling van insig in bewuste en onbewuste leierskapsdinamika in terme van angs, taak, rol, outoriteit, grense en identiteit. 'n Kwalitatiewe navorsingsontwerp is gebruik. Ses verpleegbestuurders het tien leierskapafrigtingsessies oor tien weke bygewoon. Veldnotas en besinnende opstelle is deur middel van sisteem-psigodinamiese gespreksanalise ontleed. Die bevindinge dui op duidelikheid oor en bemagtiging in hulle primêre taak en normatiewe rol; angs en ontmagtiging in hulle ervarings- en fenomenale rolle; angs in grenshandhawing wat verband hou met magsmisbruik deur andere; en die voortdurende ondersoek en integrasie van leierskapsrolidentiteit. Deelnemers se leerervarings is na aanleiding van kriteria vir organisasieleer geëvalueer, waarna die algemene hipotese geformuleer is.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.009
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.003
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 head0.174
GPT teacher head0.474
Teacher spread0.300 · 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 designQualitative
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

Citations31
Published2010
Admission routes1
Has abstractyes

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