Where does reanalysis collide?

In historical linguistics, reanalysis is a change in which speakers reinterpret the underlying structure of an expression without any immediate change in its surface form: the string stays the same while its grammatical analysis is silently reorganized, as when a sequence of words is reparsed as a single word or a noun is reinterpreted as a preposition. Harris and Campbell's Historical Syntax in Cross-Linguistic Perspective treats reanalysis as a primary mechanism of syntactic change and often the hidden first step behind grammaticalization. The referent is a covert restructuring of grammar across generations of speakers, not a reprocessing of weather records or a second statistical look at a trial.[1]

Unit

A change in the assigned structure of an expression with no change in surface form

Recovery means

Not applicable

Measured by

Inferred from later surface changes and distributional shifts that reveal a reorganized underlying structure

In atmospheric and climate science, a reanalysis is a reconstructed, physically consistent record of the past atmosphere, produced by feeding decades of heterogeneous observations into a single fixed forecast-and-assimilation system so that gaps are filled and biases from changing instruments are reduced. Kalnay and colleagues' The NCEP/NCAR 40-year reanalysis project established the paradigm: a frozen model assimilating historical data to yield a uniform gridded climate dataset. The referent is a gridded, model-assimilated reconstruction of geophysical fields, judged by its fit to observations and internal consistency, unrelated to grammar or clinical evidence.[2]

Unit

A gridded, model-assimilated time series of atmospheric fields

Recovery means

Not applicable

Measured by

Assessed by agreement with withheld observations, internal physical consistency, and spatial-temporal coverage

In clinical and evidence-based research, a reanalysis is an independent re-examination of an existing study's data, often repeating or revising the original statistical analysis to check whether its conclusions hold. Ebrahim and colleagues' Reanalyses of randomized clinical trial data surveyed such efforts and found that a meaningful share reached conclusions different from the original reports, raising reproducibility concerns. The referent is a second analytic pass over already-collected study data, measured by whether findings replicate or change, distinct from the linguistic and atmospheric meanings that happen to share the word.[3]

Unit

A repeated analysis of an existing study's collected data

Recovery means

Not applicable

Measured by

Evaluated by whether the reanalysis reproduces, strengthens, or overturns the original study's conclusions