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Record W282627436 · doi:10.5751/es-00571-070303

Infodynamics, a Developmental Framework for Ecology/Economics

2003· article· en· W282627436 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

VenueConservation Ecology · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsEcologyBiology

Abstract

fetched live from OpenAlex

"Infodynamics, for our purposes, is a developmental perspective that animates information theory by way of thermodynamics. The isomorphism between Boltzmann's statistical interpretation of physical entropy as disorder and Shannon's formulation of variety as informational entropy signals a deep connection between information and entropy production. Information is any configuration that might have been different, providing that it delays energy dissipation so that the energy is dissipated more completely. The entropy production of individual dissipative structures increases at first but eventually decelerates. I consider the questions: why do these structures grow? And why don't they keep on growing? As the universal expansion of the Big Bang accelerated, matter precipitated from disequilibrated energy. In its own search for equilibrium, matter clumped, signaling further disequilibrium. The only way these clumps can be destroyed is by others, and this role of gradient degradation entrained the evolution of complexity, all the way to living systems. This serves universal equilibration because, generally, more of an energy gradient must be lost as heat than can become reembodied in its consumers, and so it can be said that these structures grow to serve gradient degradation, taking the second law of thermodynamics as a final cause. I suggest that energy degradation is harnessed by growing systems because that process allows the fastest eventual dissipation in the direction of the lowest grade of energy. Three stages of development of dissipative structures are described: immature, mature, and senescent. Growth is limited by senescence, which I take to be a consequence of information overload. I suggest that ecosocial systems harnessed by human population growth impose less information on ecological transformations than do typical mature ecosystems, thereby tapping more powerful energy flows and producing more wastes of a higher grade than heat, which act as pollutants. Warfare is interpreted as a mechanism to prevent ecosocial senescence. I suggest that ecosocial systems should be planned in the direction of maintaining system maturity as long as possible."

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)0.003
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.160
GPT teacher head0.382
Teacher spread0.222 · 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