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Record W2909245615 · doi:10.12927/cjnl.2018.25676

Refocusing Nursing’s Lens on Followership

2018· article· en· W2909245615 on OpenAlexaffvenue
Sarah Lopez, Michelle Freeman

Bibliographic record

VenueNursing leadership · 2018
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of WindsorWindsor Regional Hospital
Fundersnot available
KeywordsFollowershipNursingPsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

The nursing profession has long acknowledged the importance of leadership and like many other professions has been criticized as "leader-centric." The role of leadership is to influence followers towards a common goal. Leaders, therefore, must have a clear understanding of followership, including the factors that promote followers' effectiveness and engagement. They must be able to identify following and non-following behaviours, and they must practice leadership styles that support effective followership. Although nurse authors in the 1980s and early 1990s advocated for the inclusion of followership in nursing education and practice, the role has received little attention. Currently, it is not included in standards and guidelines, and there are few nursing research studies on this topic. Our understanding of leadership is incomplete without also understanding followership; without the following role, there is no leadership role. The purpose of this article is to focus the lens on followership, clarify what it is, outline the different styles, explain the importance of the role to nursing and offer recommendations that guide its integration into the nursing profession.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.197
GPT teacher head0.360
Teacher spread0.163 · 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 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

Citations10
Published2018
Admission routes2
Has abstractyes

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