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Record W4385274488 · doi:10.1111/roiw.12650

Accounting for Non‐Marketed capital

2023· article· en· W4385274488 on OpenAlexaff
Robert D. Cairns, Graham A. Davis

Bibliographic record

VenueReview of Income and Wealth · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCapital Investment and Risk Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsCapital (architecture)EconomicsFixed capitalCost of capitalPhysical capitalInvestment (military)Capital budgetingReturn of capitalCapital intensityFixed investmentFinancial capitalMicroeconomicsProduction (economics)Monetary economicsBusinessReturn on investmentCapital formationInvestment performanceMarket economyHuman capitalIncentive

Abstract

fetched live from OpenAlex

Abstract Intangible capital is a key input to production that is distinct from tangible capital. Most forms of tangible and intangible capital have observable, pecuniary values. Their complement is non‐marketed capital. This paper studies non‐marketed capital from the points of view of an investor contemplating investing in a project and of a manager running the project. At the point of investment, an apparent positive net present value is realized through the marshalling of non‐marketed capital. When capital is viewed all‐inclusively, a full accounting reveals that (1) optimally timing investment serves to maximize the value of the non‐marketed capital eventually associated with an investment project, (2) the “full” net present value at investment is zero, (3) the internal rate of return is identically equal to the external interest rate, (4) Tobin's q is identically equal to one, and (5) marginal analysis is inapplicable to non‐marketed capital and thus to all capital.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.535
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

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