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Record W2625515064

Of Garbage Cans and Paradox: Reflexively Reviewing Design, Mission Command, and the Gray Zone

2017· article· en· W2625515064 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of military and strategic studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyIrrational numberGray (unit)GarbageLaw and economicsEpistemologyPolitical scienceSociologyBusinessPublic relationsComputer scienceLawPoliticsPhilosophyMathematics
DOInot available

Abstract

fetched live from OpenAlex

As a rule-following organization, the military both suffers and benefits from bureaucracy. One of the negative characteristics of bureaucracy is the co-opting of innovation. This co-option results in the dismantling of ideas and the re-wickering of innovative tools into something unworkable or at cross-purposes to their original intent. To make sense of this we first must look at the concept of paradox and understand that what we observe is not irrational or abnormal: paradox is the rule in how human institutions behave. Second, there are ways with which to make sense of paradox. Next, one example is provided, applying the Garbage Can Model of Decision Making to some of the military’s examples of paradox. Lastly, I use these insights to describe how organizations co-opt new ideas. This concept could allow military professionals to understand what happens to new ideas and why they happen so that they can anticipate co-option’s negative effects.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.175
GPT teacher head0.378
Teacher spread0.202 · 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