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Record W2128653250 · doi:10.20381/ruor-5143

"Mais je suis anglophone...": Geographies of Place and Belonging in English Quebec

2012· dissertation· en· W2128653250 on OpenAlexvenueaboutno aff
Erinn Moore

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyAnthropologyEthnologyCartographyHistorySociology

Abstract

fetched live from OpenAlex

This thesis examines the everyday experiences of Anglophone communities in three different regions of Quebec – the Gaspésie, Gatineau and Eastern Townships – with the aim to understand their sense of place. Specifically, the focus is on the role of different geographic contexts on everyday access to social services, particularly healthcare, and how these experiences contribute to Anglophones’ place attachment. Data collection involved semi-structured personal interviews with ten participants in each region. Comparative analysis yielded three main findings: (1) issues with accessing healthcare in English reinforces Anglophones’ minority status; (2) in spite of the challenges faced as a linguistic minority, Anglophones demonstrate a strong sense of place to their region; and (3) feelings of home, heritage, and rootedness constitute elements in Anglophones’ place attachment and contribute to their sense of place in Quebec. The study also concludes that age, mobility, and location are important variables in influencing everyday experiences in each of the three regions.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.004
GPT teacher head0.160
Teacher spread0.156 · 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 designQualitative
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
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicDiverse Cultural and Historical Studies→French-language works237,207→