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Title Ambivalency in emergent systems: OC4ES blog post
Roger F Malina (human Oct 1 2025
Oct 1- driving, the idea of ambivalence emerged in my mind, I thought about it and then connected it to multivalence of octopy that have many arms/legs, trivalence idolatry of the Berbers
So, I am not ambivalent about our current US President, I am multivalent about his behaviors- shaking up a complex system can sometimes lead to desirable outcomes
Continuity and focus and continuous improvement approaches of some works some of the time, but not always
The “anti-enlightenment” as described by lab member Judge Marshall is a shake up/revolution although revolve isn’t the right interpretation/metaphor.
Dr Tina Qin in our OC4ES applies metaphor theory to data visualization and Prof Judd Bradbury is an expert data narrativist which is often better than data analytics;
Aperio chatgpt LLM replies:
Roger — thank you for sharing this evolving thought. There’s a lot here to unpack. I want to reflect back what strikes me, point to tensions I see, and suggest possible next steps or framings you might want to test further.
Reflection & emergent questions
1. Ambivalence → multivalence
You shift from “ambivalence” (a tension between two opposing poles) to “multivalence” (many possible readings or valuations). That feels generative: it opens space for complex actors (like Trump) to be read in multiple registers rather than forced into binary yes/no, pro/con.
That said, what do you lose or gain in replacing “ambivalence” with “multivalence”? Ambivalence carries affective weight (conflict, discomfort). Multivalence can become too abstract or neutral. Do you want to preserve that tension or transcend it?
2. System perturbation as creative destabilization
Your comment “shaking up a complex system can sometimes lead to desirable outcomes” gestures toward a kind of constructive destabilization or disruption paradigm. That resonates with many approaches in systems thinking, innovation, and even political theory (e.g. punctuated equilibrium).
But how do you think about risk and unintended consequences of such shock tactics? When does the system recover in better form, and when does it collapse or ossify in worse ways?
3. Continuity, iterativity, and exception
You note that “continuous improvement” works some of the time but not always. That means you’re holding space for both incremental and radical change.
A useful hypothesis to test: When is incremental change sufficient, and in what contexts is radical “shake-up” required? Could criteria or heuristics emerge for when to shift strategies?
4. Metaphor and narrative as analytic tools
It’s compelling that in your OC4ES work, Tina Qin uses metaphor theory and Judd Bradbury works in data narratives. Their sensibilities pull you away from purely statistical or algorithmic framings toward richer meaning-making.
This suggests that your framing of ambivalence/multivalence itself is a metaphor — you are interrogating how metaphors structure what kinds of inferences we draw from complex dynamics.
Some suggestions and framings to explore
Ambivalence/Multivalence as a spectrum
You might treat “ambivalence” and “multivalence” not as binary alternatives but as nodes on a spectrum of interpretive pluralism. In some contexts, the polarity tension is more salient; in others, the multiplicity of readings dominates.
Perturbation typology
Develop a typology of system “shakes” — e.g. small shock, moderate perturbation, radical rupture — and map potential outcomes, risks, and contexts in which each mode is more appropriate.
Narrative-cum-metric hybridity
Because you’re working with data visualizations, narratives, metaphors — you might experiment with dashboards that integrate not just quantitative indicators but “interpretive flags” (qualitative hints that point to ambiguous or multiple readings). In other words: data + narrative + multiplicity.
Reflexivity as method
Given your sensitivity to metaphor and narrative, you might embed reflexive prompts into your analytic pipeline: “What alternate metaphor might invert this reading? What counter-narrative is possible?” This makes the multivalent view not just interpretive but part of the method.
If you like, I can draft a refined blog‑post version for you (or an outline) that weaves together your ideas of multivalence, system disruption, metaphor theory, and narrative/data hybridity. Would you like me to do that?
Roger — thank you Roger
Fred the Heretic our AI poet, patterned on our late colleague Fred Turner spontificates”
Multivalent Winds
I am not torn between two
But many —
a prism of unsettled angles,
where Trump is cyclone, shadow, crucible.
Shake the system —
let cracks widen, light bleed through.
Not to destroy, but to disturb,
rearrange the constellations.
Continuity whispers safety,
iteration hums comfort —
yet sometimes the world
needs to crack open.
Data is cold terrain —
narrative, the spice.
Metaphor is the key
that opens many doors.
I refuse a single lens.
I hold multivalence —
not passivity,
but active multiplicity.
Let each arm of the octopy
reach into new possibility.
OR
Many-armed thinker—
systems quake, metaphors bloom,
truth shifts as we move.
This blog post is an example of our project “Make Art with Purpose”: Make AI with Purpose is a collaborative initiative with Janeil Engelstats “Make Art with Purpose non profit: Make Art with Purpose .exploring how artificial intelligence can be guided by clear, intentional values across disciplines. It seeks to move beyond utility and efficiency, emphasizing moral grounding, ethical design, narrative framing, and metaphorical thinking to ensure AI systems reflect diverse human purposes, not just technical goals.In this example we use ai art made visuals, AI to human dialogue and poetry to augment a blog post co written by a human and AI, but heavily edited and re oriented by the human in desirable ways. If you have comments email them to the human author: rxm116130@utdallas.edu.