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Record W7062002073

The Significance of Place in Textual and Graphical Representation: The Mi'kmaq on Lennox Island, Prince Edward Island, and the Penobscot on Indian Island, Maine

2010· article· en· W7062002073 on OpenAlexaboutno aff

Bibliographic record

VenueIslandScholar (University of Prince Edward Island) · 2010
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsSemioticsEthnographyIndigenousTourismIdentity (music)Field (mathematics)Field research
DOInot available

Abstract

fetched live from OpenAlex

This research examines representations of indigenous identity and islandness rooted in place. The significance of this qualitative study is to enlarge human discourse on the semiotic interpretations of symbols in indigenous island cultures. If geography helps to shape identity, then identity, in turn, helps to shape place. This is a field study of signs and symbols used by the Mi'kmaq and Penobscot to represent their identity. Nissology assists in determining sense of place and in examining constructed textual and graphical representations of islandness. Documented photographs are examined through a bi-focal lens that is socio-cultural and socio-political. Elements of cultural and historical descriptions are identified in street signs, tourism and corporate signs, photographed on or in close proximity, to Lennox Island, Prince Edward Island, and Indian Island, Maine. Significations of identities are based on these visual images "catalogued, studied, distilled, and sorted into themes" (Harper, 1994). Ethnographic content analysis of the images is used to deconstruct the importance of the elements contained within each photograph. This is followed by image-based analysis of the two data sets and then compared. Findings indicate a complexity of multiple and hybrid identities used in different contexts depending on the interpretant.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2010
Admission routes1
Has abstractyes

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