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Record W2079717892 · doi:10.1353/jsw.2012.0002

The Origins of Pearson, Chihuahua: A Photographic Essay

2012· article· en· W2079717892 on OpenAlexaboutno aff
Richard D. O’Connor

Bibliographic record

VenueJournal of the Southwest · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyGeographyCorporationPolitical scienceLaw

Abstract

fetched live from OpenAlex

The Origins of Pearson, Chihuahua:A Photographic Essay Richard D. O'Connor (bio) The village that we know today as Juan Mata Ortiz came into existence under very different circumstances. The brilliant American electrical engineer and entrepreneur Fred Stark Pearson established the Mexico Transportation Company, Ltd., in Canada on February 17, 1909. Within a few months the company name was changed by a special act of parliament to the Mexico North Western Railway Co. (Ferrocarril Noroeste de México). Four railroad systems were acquired to create the Mexico North Western. The largest was the Rio Grande, Sierra Madre and Pacific, which ran from Ciudad Juárez to Terrazas south of Nuevo Casas Grandes. The Chihuahua and Pacific ran from Chihuahua City to Miñaca, while the Sierra Madre and Pacific ran from Temosáchic to Madera. Also acquired was a subsidiary of the Rio Grande, Sierra Madre and Pacific, the El Paso Southern, which owned a bridge across the Rio Grande and track to its terminal in the United States, thus providing access to the entire railroad system of North America via El Paso. In addition to the railroad system the company acquired substantial timber rights to the forests of the Sierra Madre. Approximately 2.4 million acres, including a lumber mill in Madera, were obtained from the Sierra Madre Land and Lumber Company. An additional 200,000 hectares known as the Murphy Tract were acquired from the Development Corporation of America, bringing the total to approximately three million acres of timber. Pearson then renovated the Madera Mill, enhanced its capacity, and extended the rail line south to Madera. While work on the line was beginning in late 1909, construction of what was reputed to be the largest lumber mill in North America was started in a town that came to be named Pearson. [End Page 59] Acquisition of timber rights, construction of lumber mills to process the logs, and creation of a rail transportation system to bring the lumber to the United States was a corporate strategy that seemed destined to succeed almost immediately. The problem, of course, was that the Mexican Revolution began at the same time and company operations were persistently disrupted. The Pearson Lumber Mill eventually shut down in late 1921, never to reopen. The name of the former mill town was changed to Juan Mata Ortiz in 1924, but locals continued to call it Pearson for decades. The town then became a repair facility for the Mexico North Western Railway. This large repair facility, termed La Redonda, was located on land north and south of the store currently owned by Jorge Quintana. Work continued at La Redonda until the early 1960s, when repair of the trains was transferred elsewhere and La Redonda was dismantled. Economically, the town suffered severely from lack of employment opportunities. The village of Mata Ortiz as we see it today appears completely different from Pearson. The large mill, with all of its various components, and the railroad are now gone, as is La Redonda. An excellent way to see the differences is to compare photographs of Pearson and Mata Ortiz. Richard D. O'Connor Richard D. O'Connor is a physician in San Diego, California, and is the director of quality for Sharp Rees-Stealy Medical Group. He is a connoisseur of Mata Ortiz pottery. Acknowledgments I wish to express my gratitude for invaluable assistance provided by Marta Estrada and Claudia M. Ramirez of the Border Heritage Center, El Paso Public Library; by Claudia A. Rivers and Laura Hollingsed, of the C. L. Sonnichsen Special Collections Department, University of Texas, El Paso; and by Ruth Jackson, Special Collections and Archives, Tomás Rivera Library, University of California, Riverside. An overwhelming debt of gratitude is owed to Walter Parks, whose book documents the phenomenon of Mata Ortiz. He has persistently encouraged my interest in the history of northern Chihuahua and together we visited all the various research libraries and institutes. Mata Ortiz would not be the same without his involvement. [End Page 60] Click for larger view View full resolution Figure 1. Pearson as it appeared shortly after construction of the mill and railroad one hundred years ago. (Reproduced with permission of...

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)0.002
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 score0.739
Threshold uncertainty score0.664

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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 designObservational
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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