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How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test

2001· article· en· 980 citations· W2099172632 on OpenAlex· 10.1007/s004420100720

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.066
GPT teacher head0.324
Teacher spread
0.258 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
Oecologia
Topic
Morphological variations and asymmetry
Field
Mathematics
Canadian institutions
University of Toronto
Funders
Natural Sciences and Engineering Research Council of CanadaConselho Nacional de Desenvolvimento Científico e Tecnológico
Keywords
Mantel testSuperimpositionMultivariate statisticsType I and type II errorsBiologyStatisticConcordanceTest statisticStatisticsDistance matrices in phylogenyMultivariate analysisResamplingTest (biology)Association (psychology)Statistical hypothesis testingMathematicsEcologyComputer scienceArtificial intelligenceGenetic variationBioinformaticsPsychologyGenetics
Has abstract in OpenAlex
no