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Record W2483428657 · doi:10.3167/ghs.2016.090207

‘Hey, Can I Call You Quick?’ Navigating the Academic Swells as Young Indigenous Women

2016· article· en· W2483428657 on OpenAlexaboutno aff
Renée Monchalin, Lisa Monchalin

Bibliographic record

VenueGirlhood Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousRoll callGender studiesSociologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

We are two sisters of three, born on the same day, exactly eight years apart.We are also both proud Indigenous sisters of Algonquin, Métis, Huron, and Scottish ancestry.A Cayuga Elder and seer told us that our spirits are in fact twins, and that the eight years between us-symbolized by the figure 8represents our continuing and unending connection.Learning this brought back a memory of a similar dream we had both had.In the same week our Grandfather, who had recently passed on into the spirit world, visited us both.He came to tell us that he was now in a good place, he was at peace, and that we are on the right path.While communicating this, he also revealed to us the vastness of the universe, showing us the beauty and answers that remain within it.This was a strong message communicated to us both and it is this message that we keep in mind as we navigate the academic swells.This is especially true when things like the demands of deadlines, publishing, grading, and presenting become overwhelming.We remind ourselves and each other of the teaching shared with us by our Grandfather.Growing up, we never thought we would both find ourselves in academia.In fact, while we were in high school, neither of us even knew what academia was.As we went through our lives, making it to post-secondary, we both came to identify our similar yet different desires.We both feel strongly that it is important for us to make a positive difference in the lives of future generations of Indigenous peoples.Driven by our family and personal histories, Renée 1 is determined to make a difference in decreasing health inequities facing our communities, while Lisa is determined to reduce the victimization and crime that affect our communities.Renée's drive stems from the health inequities our family members face.She chose the area of

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0290.013
Scholarly communication0.0080.008
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0110.003

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 head0.059
GPT teacher head0.394
Teacher spread0.336 · 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.

Study designQualitative
DomainIncentives
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

Citations2
Published2016
Admission routes1
Has abstractyes

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