MétaCan
Menu
Back to cohort
Record W7064409370

Becoming an invitational leader: a new approach to professional and personal success

2013· other· en· W7064409370 on OpenAlexaboutno aff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2013
Typeother
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)AllianceDominance (genetics)DemocracyWork (physics)Action (physics)Control (management)Section (typography)
DOInot available

Abstract

fetched live from OpenAlex

Invitational Leadership is a fresh and innovative model based on a single theoretical framework. The model shifts from emphasizing control and dominance to one that focuses on connectedness, cooperation, and communication. Based on sound philosophical and psychological assumptions, Invitational Leadership has been tested and successfully applied by leaders in numerous fields, including administration, business, nursing, dentistry, counseling, and other professions. Invitational Leadership is the basis for the International Alliance for Invitational Education, a network of over a thousand professionals from all 50 states as well as Great Britain, Canada, China, South Africa, and countries throughout Central and South America. William Purkey and Betty Siegel have written much more than a guidebook to becoming a healthier and more effective leader; they proffer a radically profound, compelling argument that it is time for people in positions of authority to forge a new kind of relationship with others based on dialogue, respect, and collaboration. This insightful work is long overdue in an age of “might makes right," and contains great wisdom in promoting solid values found in various democratic and spiritual organizations. Supervisors and coaches, CEO's and shop stewards, managers and parents — anyone and everyone who deals with others, take notice. This is a truly inspirational book in its invitation for all people to join together in a shared vision of promise and greatness.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0120.039
Scholarly communication0.0250.020
Open science0.0030.015
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0080.003

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 head0.044
GPT teacher head0.293
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations28
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCERN Document Server (European Organization for Nuclear Research)Same topicParticle Detector Development and PerformanceFrench-language works237,207