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Record W4213356050 · doi:10.1215/9780822377368

Skin for Skin

2014· book· en· W4213356050 on OpenAlexaffabout
Gerald M. Sider

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDermatologyMedicine

Abstract

fetched live from OpenAlex

Since the 1960s, the Native peoples of northeastern Canada, both Inuit and Innu, have experienced epidemics of substance abuse, domestic violence, and youth suicide. Seeking to understand these transformations in the capacities of Native communities to resist cultural, economic, and political domination, Gerald M. Sider offers an ethnographic analysis of aboriginal Canadians' changing experiences of historical violence. He relates acts of communal self-destruction to colonial and postcolonial policies and practices, as well as to the end of the fur and sealskin trades. Autonomy and dignity within Native communities have eroded as individuals have been deprived of their livelihoods and treated by the state and corporations as if they were disposable. Yet Native peoples' possession of valuable resources provides them with some income and power to negotiate with state and business interests. Sider's assessment of the health of Native communities in the Canadian province of Labrador is filled with potentially useful findings for Native peoples there and elsewhere. While harrowing, his account also suggests hope, which he finds in the expressiveness and power of Native peoples to struggle for a better tomorrow within and against domination.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.130
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1300.060

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 head0.018
GPT teacher head0.274
Teacher spread0.256 · 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

Citations33
Published2014
Admission routes2
Has abstractyes

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Same topicMedicine and Dermatology Studies HistoryFrench-language works237,207