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Record W4252318568 · doi:10.24124/2013/bpgub1574

Self-actualization and individuation: some thoughts on organizational spirituality in relation to high performing workplace cultures

2013· dissertation· en· W4252318568 on OpenAlexaff
Lindsay M. Parker

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsUniversity of VictoriaUniversity of Northern British Columbia
Fundersnot available
KeywordsIndividuationSpiritualitySocial connectednessMaslow's hierarchy of needsWorkplace spiritualitySelf-realizationPsychologySpiritual intelligenceMeaning (existential)Organizational cultureSelf-actualizationRelation (database)Social psychologySociologyEpistemologyManagementPublic relationsPsychoanalysisPolitical sciencePsychotherapistEmotional intelligencePhilosophyComputer science

Abstract

fetched live from OpenAlex

Organizations are shifting from a place of purely economic activity to a platform for individual growth. As individuals seek to find more meaning in their life and a strong sense of connectedness to others and society, they are looking to their organizations to fulfill these needs. Through Maslow and Rogers's theory of self-actualization and Jung's theory of self-realization (through the process of individuation), a distinct understanding of human potential is captured. Based on these theories and the idea of spirituality in the workplace, organizations can develop a culture of organizational spirituality to satisfy the innate needs of individuals and facilitate spiritual growth and development of their employees to actualize their fullest potential. This paper illustrates how, through the implementation of organizational spirituality, individuals may be able to actualize their unique potentialities and become all that they can be to promote high performing workplace culture and organizational effectiveness. --Leaf i.

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 categoriesMeta-epidemiology (narrow)
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 score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.314
Teacher spread0.290 · 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
Published2013
Admission routes1
Has abstractyes

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