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Record W3211107489 · doi:10.32920/ryerson.14635707.v1

Indigenous city fieldtrip : A resource guide to Ryerson University

2021· preprint· en· W3211107489 on OpenAlexaboutno aff
Jeremie Caribou, Rachel Reesor

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureIndigenousSituatedResource (disambiguation)AsidenobodyReading (process)Traditional knowledgeListing (finance)Knowledge basePublic relationsSociologyCommunity of practiceKnowledge managementLibrary scienceWorld Wide WebComputer sciencePedagogyPolitical scienceBusinessLawComputer security

Abstract

fetched live from OpenAlex

This resource guide contributes to a knowledge base of events, facts, interpretations, and relationships relating to Indigenous peoples with a particular focus on the land that is currently occupied by Ryerson University. This knowledge base is available for free to anyone who wishes to learn about or educate others about this topic. We realize that nobody “owns” this knowledge but that knowledge is always embodied and situated in personal experiences. Please use and share this knowledge responsibly and with respect. The guide is intended to facilitate walking field trips involving particular sites (i.e. “stations”) located on or close to Ryerson campus. For each station, we identified several resources and included links to original sources. We structured this guide by listing the sources followed by a brief description of the information from the source in bullet form. This brief description does not replace reading the original source but is rather intended to help the reader navigate the guide. We envision several ways in which this guide can be used: it can be used as a self-guided tour; it can be used by the community organizations and Ryerson instructors to develop field trips to be delivered to their classes or other audiences; or it can be used by students and the wider community to learn about Indigenous peoples and their relationship to Ryerson University.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.258
Teacher spread0.209 · 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 designNot applicable
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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