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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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The Stories We Should/Not Tell—or, The Great Traversal

Authors: Bowers, David M.; Dubbs, Christopher H.; Moore, Alexander S.;

The Stories We Should/Not Tell—or, The Great Traversal

Abstract

This editorial introduces the second volume of the Journal for Theoretical & Marginal Mathematics Education (JTM-ME). This volume marks our second year of active publication. While we (the editors) did not plan for nor solicit it, most of our accepted submissions for this issue are types of stories. Further, they can be seen as “dangerous” stories because they are acts of disclosure. They were all reviewed using our Open Review process. To honor the risk undertaken by the authors represented herein, we theme this volume as containing the stories we should/not tell. The reader is advised to consider the signifier “should/not” as a dialectic: the fact that these stories should not be told—due their dangerousness—is triple-fold the reason for precisely why they should be. In psychoanalysis, testimony can only be given after a phantasy is traversed. The authors in this volume—by telling the stories they shouldn’t—have traversed phantasies through the Open Review process. The result is that what you will read in this volume are testimonies. Taken together, we characterize this second volume of JTM-ME as a marker or signal of “The Field’s Great Traversal” which, we hope, will implicate an increasing number of researchers in the coming years.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average