MétaCan
Menu
Back to cohort
Record W2564974312

Tesla, SpaceX, and the Quest for a Fantastic Future

2016· article· en· W2564974312 on OpenAlexaboutno aff
Michael E. Dobbs

Bibliographic record

VenueThe Journal of Applied Management and Entrepreneurship · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsBiographyHavenSociologyPsychoanalysisPsychologyArt historyArt
DOInot available

Abstract

fetched live from OpenAlex

Elon Musk Tesla, SpaceX, and the Quest for Fantastic Future Ashlee Vance, Harper Collins, 2015, $21.03 (hardcover), 390 pages reviewed by Dr. Michael E. Dobbs Eastern Illinois University, USAWHAT ARE YOUR PLANS FOR preserving the human species in case of disaster? It's OK if you haven't thought about that very much because apparently that question occupies much of Elon Musk's time and attention as described in Ashlee Vance's biography Elon Musk: Tesla, SpaceX, and the Quest for Fantastic Future. Vance, Bloomberg BusinessWeek writer, describes Musk's major business ventures-Zip2, X.com which morphed into PayPal, SpaceX, Solar City, and his most high profile company, Tesla Motors. But Vance also delves into Musk's personal life and background and adeptly peels back the public projection to reveal defining personal experiences, leadership qualities, and unusual motivations like actually saving the human race from extinction.As for specific chapters, the first and last chapters are summaries of Musk's life and business ventures. There are two chapters devoted to his early life prior to his startups which may be of particular interest to younger readers (i.e. students). The schoolyard bullying that actually landed Musk in the hospital at one point, the parental split and the mind-games his father played, and his solo escape to his maternal family's home of Canada as route to get to the U.S. may all be relatable and inspirational to many. However, readers also are introduced to the less common traits of Musk in these early chapters such as his photographic memory, high IQ, and extreme social awkwardness (to put it mildly).Musk's seemingly superhuman work ethic and programming skills come to the fore in the chapter describing his first venture with his brother Kimbal during the nascent days of the internet in 1995. What became known as Zip2 was company that combined online company listings with navigation-enabled online maps. In the days before MapQuest (much less Google Maps), this was revolutionary idea but tough sell. Musk's lack of leadership and interpersonal skills hampered his ability to effectively lead the company and he was forced out as CEO. However, the experience and the $22 million he received when the company was acquired by Compaq launched him into his next venture.Always the visionary, Musk next tried to tackle the banking industry using disruptive online technology and incorporated X.com. As Vance puts it, a finance start-up with pornographic-sounding name. Surviving an attempted leadership coup only five months into the venture, Musk rallied his remaining troops, recruited new engineers, and launched one of the first online financial companies with more than 200,000 people signed up in just few months and more than million in short order. But other companies soon followed, including Confinity (with co-founder Peter Thiel) and its successful product, PayPal. In March of 2000, the two firms merged and Musk emerged as CEO of the combined entity. But once again, Musk's know-it-all demeanor, confrontational style, overwhelming demands of employees, and substantial ego pushed many of the leadership team to conspire against him and get the board to replace Musk with Thiel as CEO. And also again, Musk came away from the experience richer ($250 million this time from eBay's purchase in July, 2002) and more resolved than ever to do things his way and remain in control.As he was transitioning out of X.com (renamed PayPal in 2001) and recovering from bout with malaria that nearly killed him, he rekindled his interests in his childhood fascination with science fiction and space travel. Living in Los Angeles because of its concentration of aerospace companies and engineers, Musk began networking with other space enthusiasts and eventually joined the board of the Mars Society, nonprofit dedicated to the exploration and settlement of Mars. …

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.118

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 head0.006
GPT teacher head0.202
Teacher spread0.195 · 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
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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Applied Management and EntrepreneurshipSame topicSpace exploration and regulationFrench-language works237,207