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Record W2992524461

Introduction to This Issue

2006· article· en· W2992524461 on OpenAlexaboutno aff
Richard Nelson Bolles

Bibliographic record

VenueThe Career Planning and Adult Development Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Power (physics)SpiritualityCoachingSociologyFacet (psychology)PsychologyPsychoanalysisPhilosophyEpistemologyPersonality
DOInot available

Abstract

fetched live from OpenAlex

Things are not always what they seem. Though I am nominally the Guest Editor of this Special Issue of the Journal, is actually Steven Beasley who did the patient, day-by-day, step-by-step legwork that resulted in getting an extraordinary bunch of authors to write about The Impact of Spirituality and Personal Values on One's Career. We will always need a bunch of authors, and not just one or two, to write on this topic. As the poem about The Blind Men and the Elephant by the American poet John Godfrey Saxe reminds us, each of us sees a different facet of the topic, and is only when we put all our perceptions together that we have an accurate sense of the whole. You can gather from the Table of Contents which facet each of our authors has elected to write upon. But, to elaborate (briefly): Ken Blanchard, author of The One Minute Manager, writes of his collaboration with Norman Vincent Peale on their book, The Power of Ethical Management: You Don't Have to Cheat to Win. He concluded that leaders who were seeking to find meaning in their lives might want to move from success to significance in their own companies by operating and leading them in a different way. Hence, his article is titled: You Can Find Significance Where You Are Planted. Rabbi Moshe Fine, of Cleveland, Ohio, writes of Career Spirituality. Rabbi Fine, who is also a lawyer and career coach, recently completed Dick Knowdell's workshop on coaching individuals through career transition. He writes of his perspective on coaching with spirituality, and about how spirituality enables life to have meaning. Bob Snclling, founder of Snelling & Snelling, and of Resumes by Ross, in his article Mahatma Gandhi and Martin Luther King Proved that Non-Violent Protest Works, calls for nation-wide non-violent resistance to the anti-religious secularization trend in the United States. The late Larry Gaffin (and we miss him!), author of The Spirituality of Work: Purpose Beyond the Paycheck, in his article Spirituality That Works, described his program at the Center for Life Decisions, a career counseling program with spirituality at its core in Seattle, Washington. Tim Elliott, of Toronto, Canada, was a congregational minister for 25 years. In Clarity and Courage, he describes his learning through the doctoral program at the University of Toronto of work and vocation, and how to develop a pastoral guidance program. He now counsels people on their vocational and career transitions, and in the article he describes the questions one is asking and not asking, realizing what is clear and not clear, and reflecting on gifts of and need for courage to move forward. Sherry Connolly and Dick Cappon, of Toronto, Canada, write in You're Being Called...are You Listening? that it is the calling that is the essence of work, career, job. The calling anchors our work life. It validates career direction and provides the clarity and confidence that a chosen career path is right for me because is expressing my best self and is fulfilling my personal call. Arthur F. Miller, co-author of Finding a Job You Can Love, in his article The Integration of Spirituality with Vocation, tells of the designed giftedness in each of us, and how we can use our special gifts to express our spirituality in work and life. …

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.631
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0020.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.6310.490

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 head0.031
GPT teacher head0.288
Teacher spread0.256 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2006
Admission routes1
Has abstractyes

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