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Dallas Smythe and the Spectrum Commons

2015· article· en· W2318264769 on OpenAlexafffundabout
Gregory Taylor

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCommonsComputer scienceSpectrum (functional analysis)Political sciencePhysicsLaw

Abstract

fetched live from OpenAlex

Introduction The explosive growth in the wireless communication industry in the last two decades rests upon one all-encompassing truth for wireless providers: without access to spectrum, you cease to exist. Wireless broadband service cannot be provided without making use of the invisible, finite, publicly owned frequencies that serve as the conduit for mobile devices. For many regulators and industry officials, it has become an accepted maxim that industrial societies are nearing a spectrum capacity crunch. Industry has argued for years that the explosive growth of mobile data, triggered by the adoption of smart phones and tablets and the popularity of streaming video, has meant that they must have exclusive access rights to increasingly large portions of the public airwaves in order to provide adequate service. Since the 1990s this allocation of spectrum has largely been done via auction. Dallas Smythe wrote that the radio spectrum “does not rest with particular individuals or nations, but with all humanity” (D. Smythe, 1987). Smythe was the first vocal opposition to the concept of spectrum auctioning when it first appeared as a theory in the 1950s (Dallas W. Smythe, 1952; Dallas Walker Smythe, 1957; Taylor, 2013). He remained steadfast in his opposition to auctions as a method of spectrum allocation, even as they gained wider acceptance. Reflecting on that 1952 paper decades later, Smythe described it as “an article that I could not have improved 35 years on” (D.W. Smythe & Guback, 1994). The wireless industry has been unequivocal that it cannot provide service unless larger areas of the public spectrum are opened to them. The entire drive to auction spectrum is predicated on the idea that spectrum is increasingly limited. However, despite its fundamental importance to our increasingly mobile world, this scarcity is rarely quantified. There is increasingly reason to question this theory. This paper presents the results of a unique project measuring spectrum usage in Canada’s urban core. In doing so, I explore the legitimacy of questions of spectrum scarcity using a test case in Canada's most populous city. I also explore spectrum policy approaches beyond the auction of private licenses as ways of strengthening public wireless access. This paper explores the effects of 20 years of spectrum auctioning and places Smthe’s theory in the context of the current environment. Using Smythe as the theoretical foundation, I ask if auctions are serving the public interest. Methods The first section of the paper draws upon the theory introduced by Smythe in the late 1950s that auctions were a poor allocation method for the public spectrum. Smythe’s position was later supported by fellow Canadian communication scholar William Melody (Melody, 1980). This paper also draws upon work of Eli Noam (Noam, 1997), Yochai Benkler (Benkler, 2012) and the conclusions of a report prepared for the President of the United States in 2012 (President’s Council of Advisors on Science and Technology, 2012) to argue for a more commonist approach to spectrum access. The second part of the paper offers unique quantitative data addressing the issue of spectrum capacity in Canada. Working with Ryerson University’s Department of Electrical and Computer Engineering, I collected data on licensed mobile broadband frequencies using a spectrum analyzer. Data was collected hourly for each licensed band in twelve-hour shifts over three days. The spectrum analyzer registered activity for a band in the top chart and density of usage in the bottom chart. Results and Discussion The data clearly demonstrates the inefficiencies of paired spectrum allocation – a common approach in the allocation of this resource. The research discovered large discrepancies between the transmission frequencies and reception frequencies. In short: the data demonstrates that the allocation of this public resource is poorly structured, allowing for large amounts of prime public spectrum to sit unused by incumbents. Conclusions Questions of spectrum management should not be the exclusive realm of engineers. Scarcity is a fundamental element of classical political economy. In the Wealth of Nations, Smith writes that scarcity is the underpinning of almost all economic exchanges, from labour, rent, to agriculture and precious metals. The spectrum scarcity argument has been allowed to exist largely unchallenged for the last two decades. This paper questions the scarcity argument and uses the theoretical foundation offered by Dallas Smythe to probe into greater questions of spectrum and the common good. Acknowledgments Dr. Catherine Middleton, Ryerson University; Dr. Xavier Fernando, Ryerson University; Social Science and Humanities Research Council of Canada (SSHRC) Insight Grant. References and Notes Benkler, Y. (2012). Open Wireless vs. Licensed Spectrum: Evidence from Market Adoption. Harvard Journal of Law and Technology, 26(1). Melody, W. H. (1980). Radio Spectrum Allocation: Role of the Market. The American Economic Review, 70(2), 393-397. Noam, E. (1997). Beyond spectrum auctions. Taking the next step to open spectrum access. Telecommunications policy., 21(5), 461. President’s Council of Advisors on Science and Technology. (2012). Report to the President: Realizing the Full Potential of Government-Held Spectrum to Spur Economic Growth. Retrieved from http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast_spectrum_report_final_july_20_2012.pdf. Smythe, D. (1987). Radio Spectrum Policy and World Needs. CPRO Prometheus, 5(2), 263-283. Smythe, D. W. (1952). Facing Facts about the Broadcast Business. The University of Chicago Law Review, 20(1), 96-106. Smythe, D. W. (1957). The structure and policy of electronic communication. Urbana: University of Illinois. Smythe, D. W., & Guback, T. H. (1994). Counterclockwise: perspectives on communication: Westview Press. Taylor, G. (2013). Oil in the Ether: A Critical History of Spectrum Auctions in Canada. Canadian Journal of Communication, 38(1).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.014
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0380.007

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 head0.065
GPT teacher head0.322
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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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Published2015
Admission routes3
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