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Record W7033675745

Re-centering the Periphery: The Protestant Irish of
\nMontreal and the Birth of Canadian National Identity

2013· dissertation· en· W7033675745 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2013
Typedissertation
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsIrishProtestantismNational identityEthnic groupPoliticsImmigrationIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

This thesis considers the construction of Canadian national identity and the political and economic forces that shaped it through the focused lens of the Irish Protestant community, a changing immigrant milieu in post-Confederation Montreal. The Protestant Irish community was divided by class, and their different reactions to certain social events and identities meant that the boundaries of their community were constantly being pushed and pulled in different directions, as actors tried to impose their own narratives on the changing meta-narrative of the city. Montreal was a contact zone and immigrant centre where cross-cultural exchange occurred on a daily basis and where ethnic and religious communities were both formed and transformed. This research draws on print media to explore the complex process of identity creation in the popular press and in the popular literature of the day. By examining this quest for new national narratives between the time of Confederation and the First World War, this thesis examines the modalities through which old identities were superseded and transformed for the sake of cultural accommodation and economic expediency.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.751

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0410.034
Scholarly communication0.0140.005
Open science0.0010.007
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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 designNot applicable
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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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