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Record W839738085

Scatter, Adapt, and Remember: How Humans Will Survive a Mass Extinction

2014· article· en· W839738085 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.
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 · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsnot available
Fundersnot available
KeywordsExtinction eventEvent (particle physics)HistoryExtinction (optical mineralogy)Media studiesSet (abstract data type)SociologyComputer sciencePhysicsAstrophysicsPopulation
DOInot available

Abstract

fetched live from OpenAlex

Annalee Newitz Scatter, Adapt, and Remember: How Humans Will Survive a New York: Doubleday, 2013Reviewed by Michael PopejoyYes, we have seen blockbuster films, TV shows, and even Science Channel documentaries on the prospects and possibilities of mass extinction of the late, great Planet Earth; and yet, we are still here-so far. Even the History Channel has done episodes on past extinction events with a fearsome emphasis on the next one in line with the tagline; not if it will happen; but, when it will happen. One characteristic of a Mass Event is that no one will be around to say told you so. Even if a series of pre-set video cameras were to be set up around the planet, no one would survive to watch the events unfold.Only a journalist trained in her craftat M.I.T. would have the temerity to offer some plausible technical explanations on how humans can survive a Mass Extinction event and live to tell about it. If anything, she does offer us some glances back on previous events which we did survive the moment of doom so that it can be a reflection today on how we did survive it. So, should we begin building another Ark and begin to beckon all species of critters; two by two to get on board? Of course, given the current health crises that are currently plaguing cruise ships, it is unlikely that the Ark is the best way to go. As Norman O. Brown writes in Life against Death (1959: 305):Utopian speculations...must come back into fashion. They are a way of affirming faith in the possibility of solving problems that seem at the moment insoluble. Today, even the survival of humanity is a utopian hope.This book seems perfect for The Innovation Journal-how would indeed humans survive mass extinction; by its very title, a mass extinction event means all of us are gone-so, who survives and how? The author, Annalee Newitz, takes the long view-we must scatter, adapt and remember. We scatter to new places in the universe; we adapt to whatever environment we might find there, and then remember, how it was-back here, back then; a strange confluence of events that allows human stock to survive an earthly mass extinction event.Newitz makes it pretty clear that we are way overdue for a cataclysmic event and we should be prepared to survive our just deserts; and she believes Homo sapiens have a pretty good chance at survival in the future because we have survived in the past. She identifies episodes in the past when we dodged the bullet and she believes we are in a better position today than ever to dodge the next bullet possibly already speeding our way. In her highly speculative book, she identifies a few times we all came close to buying the farm, yet here we all are, survivors; and adapted and emerged even stronger than before.We are way overdue for a cataclysmic event and we should be prepared to survive our just deserts.How? Well, she examines the potential for underground cities, space elevators, space colonies, new advanced science to stop pandemic disease attacks, to study how other species are finding long term resilience; and, how can humans modify their morphology to choose life over death by changing how we are structured physiologically. Strange stuffhere; but, then that is the lynchpin of radical innovation.Humanity must equip itself scientifically, intellectually, and emotionally to face what the future holds and what would be demanded and required in order to survive. She never states that it would be easy-only doable. Newitz starts the book with the comment that humanity is at a crossroads. How does she know? She watches the bees. They are devolving into an inexplicable disorganization never seen before. Worker bees just fly offand never come home; adolescent bees wander around the hive aimlessly leaving hive jobs undone. Soon, production stops and eggs die of neglect. Of course, scientists have to call it something; so, why not call it Colony Collapse Disorder. …

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.351

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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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