Addiction and the adaptive cycle: A new focus
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.
Bibliographic record
Abstract
This paper explores addiction through the lens of complex adaptive systems theory, as an emergent, non-linear phenomenon that undergoes cyclical patterns of stability and change. Particularly, an addiction is a behavioural pattern that emerges through the dynamic interactions of numerous variables operating both within the individual and in the environment. Furthermore, we argue that an addiction moves through the four phases of the adaptive cycle and exists at a given scale nested within a panarchy of other complex systems. Each of these complex adaptive systems is moving through its own adaptive cycle at faster and slower rates, affecting the course of addiction in various ways. We conclude this work by suggesting that forthcoming addiction interventions and research may benefit from the consideration that addiction is a function of three separate, but related, adaptive cycles; the addiction cycle itself; a transitory cycle, and a final cycle in which the individual is actively responsible for the maintenance of his or her own recovery.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it