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Record W4387140310 · doi:10.32996/jhsss.2023.5.9.15

Psychic Capital: Its Role in Maintaining Quebec and Other Francophone Identities

2023· article· en· W4387140310 on OpenAlexaboutno aff
William W. Bostock

Bibliographic record

VenueJournal of Humanities and Social Sciences Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPsychicFrenchCapital (architecture)Social capitalPolitical sciencePoliticsUnit (ring theory)Political economySociologyPsychologyHistoryLawMedicineArchaeology

Abstract

fetched live from OpenAlex

This article will demonstrate the value of Boulding’s concept of psychic capital in explaining the survival of Quebec and other North American francophone communities where French is the first language. Psychic capital holds that while in an economic unit there will be a store of financial capital which is necessary for the continued existence of an economic unit, also in a human community there is a need for a reserve of psychic capital that is vital for the survival of that community. Psychic capital does this by providing a body of positive feelings shared between individuals and larger groupings, which could be a community or a whole nation. Boulding proposed that a coherent body of thoughts, memories and emotions may be shared as psychic capital. In the case of Quebec, this is embodied in the French language and a distinct culture which has provided the foundation of its survival through many adverse events and is the basis of the desire of many of its members for independence from Canada. If Quebec were to achieve independence, this would impact other francophone communities in North America by undermining Canada’s policy of official bilingualism at the federal level, with economic, social and political impacts. A store of psychic capital is thus necessary for the survival of Quebec and the other francophone communities of North America.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
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 head0.064
GPT teacher head0.313
Teacher spread0.249 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

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