MétaCan
Menu
Back to cohort
Record W54135943 · doi:10.3138/topia.32.229

Compiling Knowledge, Enacting Space, Binding Time: Innis’s Canadian North (1928–1944)

2015· article· en· W54135943 on OpenAlexvenueaboutno aff
Patricia H. Audette-Longo, William J. Buxton

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierGovernment (linguistics)Identity (music)PoliticsNoticeSpace (punctuation)Natural resourceResource (disambiguation)Political scienceGeographyHistoryGenealogyLawArt

Abstract

fetched live from OpenAlex

While Harold A. Innis’s contributions to media theory and economic history are well recognized, his attention to Canada’s North has received less notice. This paper brings together and analyzes Innis’s most sustained engagement with the North: his sixteen-year project of reviewing more than 150 books about the region for the Canadian Historical Review. By examining Innis’s North as a mediated text, the paper traces how his reviews were informed by concerns with enacting space and binding time. The paper discusses how Innis used his reviews to compile information about a largely unknown area, map its natural-resource potential, and commemorate its colourful and sometimes-turbulent past. Innis contributed to a construction of the region as a last frontier whose conquest could unite Canadians in common purpose and identity. Innis’s reviews provided a platform for him to criticize the federal government’s policies on the region, but his contributions to our understanding of the region largely failed to reflect the complexities of an already occupied, already changing North. Nevertheless, his discussions of political and economic development in the North anticipated current discussions of how Canada’s northern tier is undergoing transformation through the exploitation of resources and climate change.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
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 head0.076
GPT teacher head0.310
Teacher spread0.234 · 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.

Study designNot applicable
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

Citations0
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueTOPIA Canadian Journal of Cultural StudiesSame topicCanadian Identity and HistoryFrench-language works237,207