Theory construction and the projectability of meta-inductive arguments

Abstract Scientists and philosophers of science often draw methodological lessons from successful theories to justify methods of theory construction and to guide research programs.This paper proposes an epistemic framework for this practice, articulated in terms of the notion of meta-induction. By analogy to Goodman’s ‘New Riddle of Induction’, it introduces the concept of projectability of meta-inductive arguments, and demonstrates its significance in any account of meta-inductive reasoning. Likewise to scientific induction, meta-induction is shown to be constrained by naturalist epistemology in determining which classifications of theoretical methods are ‘projectable’. Projectability judgments in meta-inductive arguments help ensure that when taking lessons from past theorizing (either as a part of scientific discussions or in a philosophical reflections about science), they would be based on the way evidence was exploited in theory construction or on theoretically plausible hypothesis about the natural world, rather than on human-made concepts. This framework emphasizes the primacy of empirically guided patterns of conjecture over purely formal considerations, enabling epistemic evaluation of research projects, even when theorizing is primarily grounded on abstract theoretical methods and at stages when direct evidence is unavailable. The paper discusses possible implications on philosophical debates concerning theory assessment in fundamental physics, particularly regarding meta-empirical justification, as well as discussions on model transfer in the special sciences.

Authors

Institutions

Publication Details

Journal
Synthese
Published
2025-11-05
DOI
https://doi.org/10.1007/s11229-025-05336-5
Primary Topic
Philosophy and History of Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Theory construction and the projectability of meta-inductive arguments

Guy Hetzroni
Synthese
Philosophy and History of Science
article

Theory construction and the projectability of meta-inductive arguments

Guy Hetzroni
article en

Abstract

Abstract Scientists and philosophers of science often draw methodological lessons from successful theories to justify methods of theory construction and to guide research programs.This paper proposes an epistemic framework for this practice, articulated in terms of the notion of meta-induction. By analogy to Goodman’s ‘New Riddle of Induction’, it introduces the concept of projectability of meta-inductive arguments, and demonstrates its significance in any account of meta-inductive reasoning. Likewise to scientific induction, meta-induction is shown to be constrained by naturalist epistemology in determining which classifications of theoretical methods are ‘projectable’. Projectability judgments in meta-inductive arguments help ensure that when taking lessons from past theorizing (either as a part of scientific discussions or in a philosophical reflections about science), they would be based on the way evidence was exploited in theory construction or on theoretically plausible hypothesis about the natural world, rather than on human-made concepts. This framework emphasizes the primacy of empirically guided patterns of conjecture over purely formal considerations, enabling epistemic evaluation of research projects, even when theorizing is primarily grounded on abstract theoretical methods and at stages when direct evidence is unavailable. The paper discusses possible implications on philosophical debates concerning theory assessment in fundamental physics, particularly regarding meta-empirical justification, as well as discussions on model transfer in the special sciences.

SyntheseVol. 206(5)
Open University of Israel (IL)
Israel Science Foundation
Openalex Percentile: Top 61%
Philosophy and History of Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.