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Fictions of Surplus

2021· book-chapter· en· W3136233891 on OpenAlexaboutno aff
Brett Christophers, Heather Whiteside

Bibliographic record

VenueCornell University Press eBooks · 2021
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationArticulation (sociology)Context (archaeology)NarrativePolitical sciencePolitical economyEconomicsEconomyGeographyLawArtPolitics

Abstract

fetched live from OpenAlex

This chapter, focusing comparatively on the Canadian and UK experiences, explores one particular component of the wide-ranging work involved in privatizing and commodifying public land: the discursive component. It turns to a context where land commodification is driven less by extra-economic force and more by the lure of economic efficiency. The chapter examines the land “fictions” or legitimizing narratives — not just about land per se but about the different types of owners it can have — to rationalize and justify the process of commodification. It reveals that the kernel of these fictions is the particular idea invoked by the state that public land is often “surplus” land, and thus free to be commodified. The chapter details how surplus labels are readied, and land released to the private sector, through techniques of (dis)incentivization, the normalization of public land disposal practices, and the transfer of authority to different actors. Ultimately, the chapter presents three main sections: some essential preparatory material, the pivotal concept of “surplus,” considering its distinctive articulation and coloring in each national context, and the ways in which these fictions of surplus are brought to life.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.990
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.164
Teacher spread0.123 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2021
Admission routes1
Has abstractyes

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Same venueCornell University Press eBooksSame topicLand Rights and ReformsFrench-language works237,207