MétaCan
Menu
Back to cohort
Record W2911857675 · doi:10.1287/orsc.12.6.759.10081

Managing Exceptionally

2001· article· en· W2911857675 on OpenAlex

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.

Bibliographic record

VenueOrganization Science · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsMcGill University
Fundersnot available
KeywordsPleaAction (physics)Context (archaeology)BusinessWork (physics)Public relationsLaw and economicsSociologyPolitical scienceLawHistoryEngineering

Abstract

fetched live from OpenAlex

This paper is about two managers of Red Cross refugee camps in Tanzania who manage by exception in rather exceptional circumstances. Using a model of managerial work that delineates roles carried out at the information, people, and action levels, inside and outside the unit, these managers' activities concentrate especially on communicating and controlling a chaotic situation in a steady state, at least temporarily. While many other managers appear to be moving away from conventional forms of managing—to more linking instead of leading and convincing instead of controlling, etc.—here are two managers who seem to be going the other way, precisely because their situation is so unconventionally risky. Ned Bowman's great contribution has been not just about risks and options per se, but in the risks that he himself took and the options that he himself exposed. In this spirit, the paper concludes with a plea for the opening up not simply of content, but of context.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.295
Teacher spread0.271 · 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