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Record W2772349984

The Wealth of Humans: Work, Power and Status in the Twenty-First Century

2017· article· en· W2772349984 on OpenAlex

Why this work is in the frame

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

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œinnovation journal · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsUnemploymentPower (physics)SociologyEconomicsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

Ryan Avent Wealth of Humans: Work, Power and Status in the Twenty-first Century New York, NY: St. Martin's Press, 2016In this well-argued book, Economist writer Ryan Avent lays out a bleak vista stretching forward as far as the jaundiced eye can see. What's mostly missing in this melancholy scenario is jobs. Looking back over the decades, the most insightful economists of the twentieth century just did not see this coming. What they did foresee was a steady attrition of all work susceptible to automation, globalization and other concomitant efficiencies coming on stream. Commenting during the bleaker thirties, John Maynard Keynes exhibited more than a little concern over what could happen to a future society inundated with a great surplus of leisure time to spend! Some of you may remember those fanciful, gee-whiz worries of decades past.But even if you count unemployment as a form of leisure, the surplus we really need worry about is inequality. Most essential commodities and many services are in oversupply worldwide. However, we remain far away from solving the social problem of distribution. In the oft-quoted words of science fiction writer William Gibson (2003), The future is already here; it's just not very evenly distributed. Because of the way contemporary society continues to organize itself, inequality, joblessness, gluts and the absence of meaningful growth continue to coexist.In the UK imprint of this book, the second half of the title reads Work and its Absence in the Twenty-first Century, which summarizes the author's theme. There is much more to say though than that, including surprises which may make you angry if you are not among the favoured few in the highest income percentiles. Among those surprises may be the discovery that automation and robotics are not alone in the systematic, structural replacement of skilled work. You might have to give way to other workers very close to home, but less protected or qualified. Paradoxically, a better educated workforce, once a rising tide to raise generations of good careers, has created an accreditation glut. Employers can demand higher levels of qualification for entry level positions, yet pay successful applicants much less than before. We've all seen this.The picture gets even bleaker. While job seekers contort their lives into mangled pretzels to look good on their resumes, others, whose only significant contribution to the world might be the inheritance of a strategically located tract of land or the chance purchase of an under rated block of shares, are arbitrarily set for life. Huffington Post (Tencer, 2016) reports that if you owned an average house in Canada last year, it probably earned more than you did. Rising housing costs destroy neighbourhoods, force endless hours of commute time and sooner or later hobble innovation. Workers compete against their own interests just to gain access to the wealthy, while simultaneously sliding downwards and away. Capitalists naturally collect exorbitant rents, in the broader, economic sense of the word, or make capital gains on every asset they possess or control and which everyone else really covets. They do this routinely because they can. You may despise such exploitive people, but your own success may require that you have access to them.Governments and central banking agencies often make unequal conditions worse without introducing real offsetting benefits. This can take the form of throwing good money after bad (supporting dying enterprises rather than investing in growing ones), giving large enterprises unconditional bailouts, and pursuing interest rate suppression-arguably the worst growth killer. When wages are depressed by low demand for labour, central banks are persuaded to keep interest rates low hoping to help the unemployed and underpaid subsist. In turn, investors sit on their money or turn to whatever high-yield low-risk opportunities remain. Unless an angel fund or public initiative underwrites needed riskier options, nobody goes there. …

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.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.035
GPT teacher head0.239
Teacher spread0.204 · 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