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Record W2602092770 · doi:10.15353/pced.v16i0.61

Developing a First Nation community skills inventory

2017· article· en· W2602092770 on OpenAlex
Devon MacKinnon-Ottertail

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePapers in Canadian Economic Development · 2017
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsMemorandumMemorandum of understandingNegotiationCertificationTracking (education)BusinessDutyPublic relationsPolitical scienceSociologyLawPedagogy

Abstract

fetched live from OpenAlex

First Nation communities have been presented a stronger role in mining and forestry developments by recent court judgements on governments’ duty to consult. Negotiations with mining companies have often included employment for community members in any Memorandum of Understanding (MOU). When jobs are presented by mining companies, the forestry industry, and other employers, there is no current system for First Nation Administrators to determine if community members have the pre-requisite skills, experience and qualifications that the employer is looking for and this has led to missed opportunities.To act on these prospects, Eagle Lake First Nation (ELFN) developed a system for tracking any training offered by the Band and created a skills inventory for additional training and certifications that community members have completed either on-reserve or off-reserve. This paper will document the development of this system.Keywords: First Nations, employment, recruitment, human resources, skills, community skills inventory, Ontario, Canada.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.208
Teacher spread0.183 · 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