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Record W6996120717

Retention of ethnic culture among Thunder Bay Finns / by Michael J. Maunula. --

2017· other· en· W6996120717 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsThunderEthnic groupNeighbourhood (mathematics)Ethnic communityEthnic cultureBayIndigenous
DOInot available

Abstract

fetched live from OpenAlex

The thesis addresses the question: "What are
\nthe factors influencing the level of ethnic culture
\nretention among Thunder Bay Finns?" The investigation
\nis focused on three characteristics: residency (urban
\nor rural), residential propinquity to other Finns,
\nand socio-economic status.
\nThe survey instrument gathers additional respondent
\ncharacteristics to allow evaluation of the influence
\nof other factors. In measuring culture, a distinction
\nis made between knowledge and practise of Finnish
\ncustoms and culture and efforts to maintain a Finnish
\nidentity. The latter allows a response to current
\nethnic assimilation literature which suggests a resurging
\ninterest in selective areas of ethnic heritage.
\nPreceeding the review of the literature, a
\nhistorical perspective is given to the present situation
\nby summarizing the history of the Finnish people, their
\nemigration to Canada, and the experiences of the immigrants
\nin Canada and particularly Thunder Bay.
\nAmong the young adults of Finnish descent who
\nformed the sample population, those who were raised
\nin an urban setting were likely to have a higher culture
\nretention level than those raised in a rural setting.
\nNot surprising, those raised in a neighbourhood predom-inantly Finnish also had a higher culture retention level
\nthan those raised in a non-Finnish neighbourhood.
\nSocio-economic status proves interesting in that those
\nrespondents from families having a low socio-economic
\nstatus retain more of their culture than those from
\nfamilies having a high socio-economic status. However,
\nwhen the respondent?s own present socio-economic status
\nis considered, those with a high socio-economic status
\nretain more Finnish culture than the low socio-economic
\nstatus respondents. It is arguable that upward mobility
\namong this group has not resulted in abandonment of
\ntheir ethnic heritage. An adjustment, where both success
\nin the dominant society and a continued identification
\nwith one?s ethnic heritage co-exist, appears to have
\noccurred. The bond of ethnic affinity displays considerable
\nendurance.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.036
GPT teacher head0.262
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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