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Record W2155366503 · doi:10.1068/a40205

Toward Engaged Pluralism in Geographical Debate

2007· article· en· W2155366503 on OpenAlexaff
Eric Sheppard, Paul Plummer

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPluralism (philosophy)Economic geographyPolitical scienceEpistemologySociologyGeographyPhilosophy

Abstract

fetched live from OpenAlex

Toward engaged pluralism in geographical debate Environment and Planning A has built its reputation as a journal that welcomes a plurality of sociospatial ontologies, epistemologies, and methodologies, and a laudable variety of approaches graces the pages of the journal.These appear side by side, in the Confucian spirit of letting a thousand flowers bloom, but attempts to engage across these different approaches are rare (excepting the occasional theme issue with this as its goal).This lack of engagement is all too characteristic of the discipline as a whole, and indeed of Anglophone social sciences more generally.There are a variety of reasons for this.First, the social sciences and humanities remain dominated by papers written by single authors, unlike the natural sciences where research projects and published papers are commonly collaborative (with more than 100 authors on occasion).(Of course, competition between such research groups remains intense, and there are frequently all kinds of differences, inequalities, and struggles within research groups.)This culture reinforces an ethos of competitive individualism.It has been said that physical geographers step on one another's shoulders, whereas human geographers step on one another's faces (Lynn Staehili, personal communication).This competitive culture, in which individuals make their names by forging new directions through critiques of the present, is reinforced by the neoliberalization of the academy, by the shortening of the training of postgraduate studentsöwho have no time to learn the history of their discipline, by the decreasing half-life of ideas, by the prescription that young scholars should specialize, and by the personal nature of the reputations that are thereby at stake.As for neoliberalism more generally, the theoretical notion that everyone has a chance on a level playing field is trumped by a reality in which existing academic inequalities and power structures remain surprisingly durable (Johnston, 2006;Sheppard, 2006).This seems particularly the case in economic geography (cf Barnes and Sheppard, 2007), the subarea of the spatial social sciences with which we are most intimately familiar.On the one hand, stark differences exist among geographers, which tendentially split along such lines as quantitative/qualitative, political economy/cultural, and Marxist/poststructural.On the other hand, geographers and economists, all claiming to be pursuing economic geography, seem to inhabit different planets (economists on Mars, geographers on Venus).On more than one occasion in the last fifteen years, our own attempts to offer critical assessments of mainstream geographical economists' core dictums, in their preferred language of mathematical modeling, have been met by incredulity and dismissal from our intended audience.It is desirable, in Environment and Planning A but also in many other venues, to replace the current culture of, at best, live and let live (you do your thing, I'll do mine) with that of engaged pluralism.By engaged, we mean an open-ended attempt to learn about and learn from other approaches.By pluralism, we mean rejecting monism: the taken-for-granted idea that such engagement must result in a consensus about the best approach to a particular problemöthat debates have to be resolved in favor of one position or another (or an agreed compromise).Engagement is necessary to overcome the problems of balkanization: good ideas that are dismissed because they come from outside a constructed intellectual community; wheels that are reinvented.While competition between intellectual niches will always benefit some (the perceived winners),

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.098
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0250.098
Scholarly communication0.0330.031
Open science0.0050.052
Research integrity0.0160.022
Insufficient payload (model declined to judge)0.0090.002

Machine scores (provisional)

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.

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

Opus teacher head0.022
GPT teacher head0.244
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2007
Admission routes1
Has abstractyes

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