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Record W2125554005 · doi:10.1002/nml.208

Succession, strategy, culture, and change at Santropol Roulant

2008· article· en· W2125554005 on OpenAlexaffabout
Lukas Neville, Elspeth J. Murray

Bibliographic record

VenueNonprofit Management and Leadership · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsVulnerability (computing)BusinessComputer scienceComputer security

Abstract

fetched live from OpenAlex

Abstract Santropol Roulant is an innovative nonprofit organization in Montreal focused on youth training, food security, and intergenerational community building. Since its inception, the Roulant has delivered more than 250,000 meals to isolated seniors and trained more than sixteen hundred young volunteers. Within a few short months, the Roulant will lose half its board members, five senior staff members, and its dedicated and wellliked executive director. The leadership turnover will be a highstakes test for the Roulant: Can they turn a period of vulnerability into an opportunity for growth and rejuvenation? This teaching case is intended to develop familiarity with key issues related to succession planning, transition management, and organizational change. Students will learn about managing a period of complex, high‐intensity organizational change, develop an understanding of the linkages between organizational form and strategic objectives, and become familiar with the structural and substantive issues facing transition teams.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0160.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.161
GPT teacher head0.253
Teacher spread0.092 · 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 designQualitative
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
Published2008
Admission routes2
Has abstractyes

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