Dontopedia

Function Renaming

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Function Renaming has 8 facts recorded in Dontopedia across 1 reference.

8 facts·8 predicates·1 sources

Mostly:renamed from(1), renamed to(1), reason for renaming(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

describesDescribes(1)

hasItemHas Item(1)

Other facts (8)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

8 facts
PredicateValueRef
Renamed Fromcorrection_logic[1]
Renamed toapply_correction_rules[1]
Reason for Renamingclarity[1]
Has Old Namecorrection_logic[1]
Has New Nameapply_correction_rules[1]
Markdown Boldtrue[1]
Improvement Typenaming clarity[1]
Motivationclarity improvement[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

renamedFrombeam/18e5a306-7222-46b8-a4df-255c6c5a3962
correction_logic
renamedTobeam/18e5a306-7222-46b8-a4df-255c6c5a3962
apply_correction_rules
reasonForRenamingbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
clarity
hasOldNamebeam/18e5a306-7222-46b8-a4df-255c6c5a3962
correction_logic
hasNewNamebeam/18e5a306-7222-46b8-a4df-255c6c5a3962
apply_correction_rules
markdownBoldbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
true
improvementTypebeam/18e5a306-7222-46b8-a4df-255c6c5a3962
naming clarity
motivationbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
clarity improvement

References (1)

1 references
  1. ctx:claims/beam/18e5a306-7222-46b8-a4df-255c6c5a3962
    • full textbeam-chunk
      text/plain1 KBdoc:beam/18e5a306-7222-46b8-a4df-255c6c5a3962
      Show excerpt
      row (pd.Series): Series representing a row of the DataFrame. Returns: str: Classification of error rate ('high_error', 'medium_error', 'low_error'). """ try: error_rate = row['error_rate'] if error_rate

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