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markitect-main/examples/infospace-with-history/output/entities/average-produce.md
tegwick 41773f1320 feat(llm): add OpenAI adapter, entity archive policy, process chapters 5-7
Add OpenAIAdapter for the OpenAI chat completions API (apikey-chatgpt.txt
or OPENAI_API_KEY). Set default model to arcee-ai/trinity-large-preview:free
for the infospace pipeline and increase max_tokens from 4096 to 8192.

Reprocess chapter 05 with Trinity Large (was Gemini: 1 truncated entity,
now 19 complete entities). Process chapters 06 (Aurora Alpha, 10 entities)
and 07 (Trinity Large, 15 entities including regenerated violent-policy.md).
Canonical set now at 85 unique entities.

Add entity archive policy: entities are never silently deleted. Retired
entities move to output/entities/archive/ with a dated reason header.
New CLI option: --archive-entity <slug> --reason "...". The --list
output shows the archive count alongside the canonical set.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 23:39:44 +01:00

1.6 KiB

average-produce

Definition

Average produce refers to the typical or expected output from a given quantity of industry or labour over time, as opposed to the actual produce which may vary significantly from year to year. This concept is particularly relevant in agriculture where the same number of labourers may produce very different quantities in different years due to natural variations, while manufacturing tends to produce more consistent output.

Source Chapter

Book 1, Chapter 7: "OF THE NATURAL AND MARKET PRICE OF COMMODITIES."

Context

Smith uses average produce to explain why agricultural commodity prices fluctuate more than manufactured goods prices. He argues that only average produce can be suited to effectual demand, while actual annual variations create temporary surpluses or shortages that cause price fluctuations.

Economic Domain

Production

Smith's Original Wording

"But, in some employments, the same quantity of industry will, in different years, produce very different quantities of commodities; while, in others, it will produce always the same, or very nearly the same. The same number of labourers in husbandry will, in different years, produce very different quantities of corn, wine, oil, hops, etc. But the same number of spinners or weavers will every year produce the same, or very nearly the same, quantity of linen and woollen cloth."

Modern Interpretation

Average produce represents the expected yield from productive activity, accounting for natural variations in output. This concept is fundamental to understanding risk, uncertainty, and price volatility in different sectors of the economy.