MétaCan
Menu
Back to cohort
Record W2121758131 · doi:10.12927/cjnl.2010.21830

Transformational Leadership to Promote Cross-Generational Retention

2010· article· en· W2121758131 on OpenAlex
Vanessa M. Lobo

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueNursing leadership · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransformational leadershipBaby boomersWorkforceNursing managementTransactional leadershipLeadership styleGeneration xNursingPublic relationsPsychologyEconomic shortageGeneration yPopulationSociologyPolitical scienceBusinessMedicineMarketingDemographic economicsGovernment (linguistics)

Abstract

fetched live from OpenAlex

As the current nursing shortage intensifies under the weight of an aging population, retention of front-line staff is becoming paramount. Studies have consistently demonstrated that the leadership style of nurse managers plays a significant role to this end. This paper describes some of the challenges that managers encounter in their dealings with the contemporary multigenerational workforce - including the baby boomers, generation X and generation Y (the "millennials"). A review of research findings suggests the insufficiency of a single leadership approach to nurse management compared to more tailored generational strategies. Application of the transformational leadership model provides the background and tenets from which solutions are proposed for multigenerational management.

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)0.000
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 score0.652
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.194
GPT teacher head0.284
Teacher spread0.090 · 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