MétaCan
Menu
Back to cohort
Record W1993402256 · doi:10.1017/s0008423904240100

Continentalizing Canadian Telecommunications: The Politics of Regulatory Reform

2004· article· en· W1993402256 on OpenAlexaffabout
Frederick J. Fletcher

Bibliographic record

VenueCanadian Journal of Political Science · 2004
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsYork University
Fundersnot available
KeywordsRestructuringPoliticsRegulatory reformUnrestHeadlinePolitical scienceGlobeTelecommunicationsPolitical economyEconomicsBusinessEngineeringLawAdvertising

Abstract

fetched live from OpenAlex

Continentalizing Canadian Telecommunications: The Politics of Regulatory Reform, Vanda Rideout, Montreal & Kingston: McGill-Queen's University Press, 2003, pp. xiii, 256 A recent headline in The Globe and Mail , “Labour unrest dogs the telecomm industry,” could have been written at almost any time over the past decade or more. The industry is facing fundamental structural change, driven by new technologies, regulatory reform, and market shifts and management has, predictably, focused on reducing labour costs. For anyone seeking to understand the political economy of restructuring in the telecommunications sector, this slim volume is a valuable addition to the literature. The author traces the story of telecommunications regulation from its origins in the First National Policy to neo-liberal restructuring (up to 2002), with special attention to the impact of the Free Trade Agreement (FTA) and North American Free Trade Agreement (NAFTA). As a work of history, the book provides a helpful map of major regulatory and policy shifts in the telecommunications sector. In tracing these shifts, the author discusses broader issues, such as the key role of telecommunications in “advanced electronic capitalism” (3) and the conflicts that accompanied the change from “a Fordist telecommunications regime” to a “continental” one (5).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.825

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 studies0.0000.001
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 head0.245
Teacher spread0.232 · 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

Citations6
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Political ScienceSame topicICT Impact and PoliciesFrench-language works237,207